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The task is to determine the minimum vertex cover of a graph. A vertex cover is a set of nodes such that every edge in the graph is incident to at least one node in the set. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9...
[1,2,3,4,5,6,7,9,11,12,13,14,15,16,19,20,22,23,24]
graph_min_vertex_cover
The task is to determine the breadth-first search (BFS) traversal order given a starting node. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, and 25. The graph...
[(20,22),(22,14),(14,10),(14,21),(14,25),(21,19),(25,24),(19,7),(19,8),(24,16),(7,11),(7,17),(16,13),(11,2),(17,18)]
graph_bfs
The task is to determine the transitivity of a graph. Transitivity is the ratio of the number of triangles in the graph to the number of connected triples of nodes. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, and 9. The...
0
graph_transitivity
The task is to determine the minimum spanning tree of a graph. A minimum spanning tree is a subset of the edges that connects all vertices in the graph with the minimum possible total edge weight. If not specified, all edges have equal edge weights Here is an undirected graph. In the graph, (u, v) means that node u an...
[(1,3),(1,4),(2,4),(2,5),(2,6),(3,10),(3,21),(3,26),(4,12),(6,11),(6,13),(6,16),(7,8),(7,19),(8,9),(8,10),(8,28),(8,29),(11,24),(11,27),(14,15),(14,16),(15,17),(15,18),(19,30),(20,21),(20,22),(20,25),(23,27)]
graph_minimum_spanning_tree
The task is to determine the number of connected components in the graph. A connected component is a subgraph where any two nodes are connected to each other by paths. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, ...
2
graph_connected_component_number
The task is to determine if the graph has a cycle. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, and 22. The graph contains edges: (1, 12), (1, 15), (10, 12), (2, 5), (5,...
No
graph_has_cycle
The task is to determine the Wiener index of a connected graph. The Wiener index of a graph is the sum of the shortest-path distances between each pair of reachable nodes. For pairs of nodes in undirected graphs, only one orientation of the pair is counted. Here is an undirected graph. In the graph, (u, v) means that ...
35.0
graph_wiener_index
The task is to determine the local connectivity of two nodes in the graph. Local connectivity is whether there exists at least one path between the two nodes. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 1...
Yes
graph_local_connectivity
The task is to determine the number of weakly connected components in a directed graph. A weakly connected component is a maximal subgraph where every node is reachable from every other node when ignoring the direction of edges. Here is a directed graph. In the graph, (u, v) means that there is an edge from node u to ...
2
graph_weakly_connected_number
The task is to determine the Wiener index of a connected graph. The Wiener index of a graph is the sum of the shortest-path distances between each pair of reachable nodes. For pairs of nodes in undirected graphs, only one orientation of the pair is counted. Here is an undirected graph. In the graph, (u, v) means that ...
237.0
graph_wiener_index
The task is to determine the dominating set of a graph. A dominating set is a subset of nodes such that every node in the graph is either in the set or adjacent to a node in the set. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6...
[1,4,5,6,9,11,13,15,17]
graph_dominating_set
The task is to determine the degree of a node in the graph. For the undirected graph, you should count the edge between two nodes only once. Here is a directed graph. In the graph, (u, v) means that there is an edge from node u to node v. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9, and 10. The graph contains ...
10
graph_degree
The task is to determine the betweenness centrality of a node in the graph. Betweenness centrality of a node u is the sum of the fraction of all-pairs shortest paths that pass through u. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, ...
0.0978927203065134
graph_betweenness_centrality
The task is to determine the global efficiency of a graph. Global efficiency is the average of the inverse shortest path lengths between all pairs of nodes in the graph. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10...
0.2808513599153988
graph_global_efficiency
The task is to determine if there is a triangle in the graph that includes a specific node. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, and 22. The graph contains edges...
Yes
graph_triangle_detection
The task is to determine the neighbors of a node in the graph. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, and 29. The graph contains edges:...
[2,13]
graph_neighbor
The task is to determine the constraint of a node in a graph. The constraint of a node is a measure of how much the node is constrained by its neighbors. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14...
0.558641975308642
graph_constraint
The task is to determine the transitivity of a graph. Transitivity is the ratio of the number of triangles in the graph to the number of connected triples of nodes. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11,...
0.6352941176470588
graph_transitivity
The task is to determine if the graph has a cycle. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, and 23. The graph contains edges: (1, 2), (2, 3), (3, 19), (4, 9), (4...
No
graph_has_cycle
Given two nodes u and v, the task is to determine the shortest path between u and v (for directed graph, from u to v). Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 2...
[3,18,12,17,1,22,5,7,16]
graph_shortest_path
The task is to determine if the graph is bipartite. A bipartite graph is a graph whose nodes can be divided into two disjoint sets such that no two graph vertices within the same set are adjacent. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1,...
Yes
graph_is_bipartite
The task is to determine the closeness centrality of a node in the graph. For a node u, closeness centrality is the reciprocal of the average shortest path distance to u over all n-1 reachable nodes. For directed graphs, it computes the incoming distance to u. Here is an undirected graph. In the graph, (u, v) means tha...
0.38095238095238093
graph_closeness_centrality
The task is to determine the breadth-first search (BFS) traversal order given a starting node. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 2...
[(5,2),(5,22),(5,33),(2,6),(22,24),(33,3),(33,4),(6,10),(6,13),(6,28),(24,26),(3,31),(4,20),(10,11),(10,16),(10,32),(13,9),(28,17),(26,14),(31,1),(31,12),(20,23),(16,18),(16,19),(32,15),(14,21),(1,27),(12,7),(18,30),(19,29),(27,8),(7,25)]
graph_bfs
Given nodes u and v in a graph, the task is to determine if there is an edge connecting the two nodes. For undirected graphs, it means whether there are edges between u and v. For directed graphs, it means whether there are edges from u to v.Here is an undirected graph. In the graph, (u, v) means that node u and node ...
Yes
graph_edge_existence
The task is to determine the center of a graph. The center of a graph includes the node that minimizes the maximum distance to all other nodes. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, ...
[1]
graph_center
The task is to determine the number of edges in the graph. For the undirected graph, you should count the edge between two nodes only once. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, ...
40
graph_edge_number
The task is to determine the effective size of a node in a graph. The effective size of a node is the number of nodes that are not directly connected to it, but are connected to its neighbors. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, ...
2.0
graph_effective_size
The task is to determine the global efficiency of a graph. Global efficiency is the average of the inverse shortest path lengths between all pairs of nodes in the graph. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10...
0.8653846153846154
graph_global_efficiency
The task is to determine the topological sort of a directed acyclic graph (DAG). Here is a directed graph. In the graph, (u, v) means that there is an edge from node u to node v. The graph contains nodes: 1, 2, 3, 4, and 5. The graph contains edges: (1, 3), (3, 5), (5, 4), (4, 2). Question: What is the topological so...
[1,3,5,4,2]
graph_topological_sort
The task is to determine the local connectivity of two nodes in the graph. Local connectivity is whether there exists at least one path between the two nodes. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 1...
Yes
graph_local_connectivity
The task is to determine the number of edges in the graph. For the undirected graph, you should count the edge between two nodes only once. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, and 8. The graph contains edges: (1, 2...
7
graph_edge_number
The task is to determine the number of nodes in the graph. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, and 34. The graph...
34
graph_node_number
The task is to determine the average degree of the neighbors of a node in the graph. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, and 17. The graph contains edges: (1, 4), (4, 11), (4, 15),...
2.0
graph_avg_neighbor_degree
The task is to determine if the graph is Eulerian. An Eulerian graph is a graph that contains an Eulerian circuit, which is a cycle that visits every edge exactly once. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10,...
Yes
graph_is_eularian
Given nodes u and v in a graph, the task is to determine if there is an edge connecting the two nodes. For undirected graphs, it means whether there are edges between u and v. For directed graphs, it means whether there are edges from u to v.Here is a directed graph. In the graph, (u, v) means that there is an edge fr...
No
graph_edge_existence
The task is to determine the effective size of a node in a graph. The effective size of a node is the number of nodes that are not directly connected to it, but are connected to its neighbors. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, ...
2.0
graph_effective_size
The task is to determine the Wiener index of a connected graph. The Wiener index of a graph is the sum of the shortest-path distances between each pair of reachable nodes. For pairs of nodes in undirected graphs, only one orientation of the pair is counted. Here is an undirected graph. In the graph, (u, v) means that ...
21.0
graph_wiener_index
The task is to determine the number of weakly connected components in a directed graph. A weakly connected component is a maximal subgraph where every node is reachable from every other node when ignoring the direction of edges. Here is a directed graph. In the graph, (u, v) means that there is an edge from node u to ...
2
graph_weakly_connected_number
The task is to determine the Wiener index of a connected graph. The Wiener index of a graph is the sum of the shortest-path distances between each pair of reachable nodes. For pairs of nodes in undirected graphs, only one orientation of the pair is counted. Here is an undirected graph. In the graph, (u, v) means that ...
35.0
graph_wiener_index
The task is to determine the degree assortativity coefficient of a graph. The degree assortativity coefficient is a measure of the correlation between the degrees of connected nodes. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6...
0.4120267260579064
graph_degree_assortativity
The task is to determine the minimum vertex cover of a graph. A vertex cover is a set of nodes such that every edge in the graph is incident to at least one node in the set. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9...
[1,2,3,4,5,6,8,9,10,11,12,13,14,15,16,17,21,22,24,25,26,27,28]
graph_min_vertex_cover
The task is to determine the barycenter of a graph. The barycenter of a graph is also called the median. It includes the node that minimizes the sum of distances to all other nodes. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6,...
[1]
graph_barycenter
The task is to determine common neighbors between two nodes in the graph. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, and 21. The graph contains edges: (1, 3), (1, 8), (1, ...
[1]
graph_common_neighbor
The task is to determine the betweenness centrality of a node in the graph. Betweenness centrality of a node u is the sum of the fraction of all-pairs shortest paths that pass through u. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, ...
0.5694444444444444
graph_betweenness_centrality
The task is to determine the breadth-first search (BFS) traversal order given a starting node. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, and 6. The graph contains edges: (1, 6), (5, 6), (2, 5), (3, 5), (3, 4). Question: What ...
[(6,1),(6,5),(5,2),(5,3),(3,4)]
graph_bfs
The task is to determine the center of a graph. The center of a graph includes the node that minimizes the maximum distance to all other nodes. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, ...
[1,2,4,6,9,11,12,16,17,20,22,23,27,28,31,32]
graph_center
The task is to find the number of triangles that include a specific node as one vertex. A triangle is a set of three nodes that are all connected to each other. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12,...
1
graph_triangles
The task is to determine the center of a graph. The center of a graph includes the node that minimizes the maximum distance to all other nodes. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, and ...
[1,2,3,4]
graph_center
The task is to determine the number of weakly connected components in a directed graph. A weakly connected component is a maximal subgraph where every node is reachable from every other node when ignoring the direction of edges. Here is a directed graph. In the graph, (u, v) means that there is an edge from node u to ...
1
graph_weakly_connected_number
The task is to determine the radius of a graph. The radius of a graph is the minimum eccentricity of any node in the graph. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, ...
2
graph_radius
The task is to determine the center of a graph. The center of a graph includes the node that minimizes the maximum distance to all other nodes. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, and 8. The graph contains edges: (...
[4,7]
graph_center
The task is to determine the global efficiency of a graph. Global efficiency is the average of the inverse shortest path lengths between all pairs of nodes in the graph. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10...
0.6994505494505491
graph_global_efficiency
The task is to determine the number of edges in the graph. For the undirected graph, you should count the edge between two nodes only once. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, ...
48
graph_edge_number
Given nodes u and v in a graph, the task is to determine if there is an edge connecting the two nodes. For undirected graphs, it means whether there are edges between u and v. For directed graphs, it means whether there are edges from u to v.Here is an undirected graph. In the graph, (u, v) means that node u and node ...
No
graph_edge_existence
The task is to find all bridges of a graph. A bridge is an edge in a graph whose removal increases the number of connected components. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, and 14. The graph con...
[(1,2),(1,10)]
graph_bridges
The task is to determine the minimum spanning tree of a graph. A minimum spanning tree is a subset of the edges that connects all vertices in the graph with the minimum possible total edge weight. If not specified, all edges have equal edge weights Here is an undirected graph. In the graph, (u, v) means that node u an...
[(1,8),(1,9),(1,10),(2,4),(2,5),(3,4),(3,8),(5,6),(5,7)]
graph_minimum_spanning_tree
The task is to determine the average degree of the neighbors of a node in the graph. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, and 20. The graph contains edges: (1, 18), (16,...
2.0
graph_avg_neighbor_degree
The task is to determine the betweenness centrality of a node in the graph. Betweenness centrality of a node u is the sum of the fraction of all-pairs shortest paths that pass through u. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, ...
0.0
graph_betweenness_centrality
The task is to determine the number of isolated nodes in the graph. An isolated node is a node that has no edges connecting it to any other nodes. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9, and 10. The graph contain...
0
graph_isolate_number
Given two nodes u and v, the task is to determine the shortest path between u and v (for directed graph, from u to v). Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 2...
[2,14,10,21,7,8,20,26,1,23,4]
graph_shortest_path
The task is to determine the degree assortativity coefficient of a graph. The degree assortativity coefficient is a measure of the correlation between the degrees of connected nodes. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6...
0.19424460431654728
graph_degree_assortativity
The task is to determine the closeness centrality of a node in the graph. For a node u, closeness centrality is the reciprocal of the average shortest path distance to u over all n-1 reachable nodes. For directed graphs, it computes the incoming distance to u. Here is an undirected graph. In the graph, (u, v) means tha...
0.08333333333333333
graph_closeness_centrality
The task is to determine the number of connected components in the graph. A connected component is a subgraph where any two nodes are connected to each other by paths. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, ...
1
graph_connected_component_number
The task is to find the number of triangles that include a specific node as one vertex. A triangle is a set of three nodes that are all connected to each other. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, and 6. The graph contai...
5
graph_triangles
The task is to determine the number of connected components in the graph. A connected component is a subgraph where any two nodes are connected to each other by paths. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, ...
2
graph_connected_component_number
The task is to determine the center of a graph. The center of a graph includes the node that minimizes the maximum distance to all other nodes. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, and 12. The graph co...
[2]
graph_center
The task is to determine if the directed graph is strongly connected. A directed graph is strongly connected if there is a directed path between every pair of vertices. Here is a directed graph. In the graph, (u, v) means that there is an edge from node u to node v. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9,...
No
graph_is_strongly_connected
The task is to determine the center of a graph. The center of a graph includes the node that minimizes the maximum distance to all other nodes. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9, and 10. The graph contains e...
[1,3,4,6,7,8,10]
graph_center
The task is to determine the maximal independent set guaranteed to contain a given node in the graph. An independent set is a set of nodes such that the subgraph induced by these nodes contains no edges. A maximal independent set is an independent set such that it is not possible to add a new node and still get an ind...
[1,2,3,4,5,9,11,12,17,18,21,23,24,29,30,32]
graph_maximal_independent_set
The task is to determine the dominating set of a graph. A dominating set is a subset of nodes such that every node in the graph is either in the set or adjacent to a node in the set. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6...
[1,3,5,10,11,15,19]
graph_dominating_set
The task is to determine the number of weakly connected components in a directed graph. A weakly connected component is a maximal subgraph where every node is reachable from every other node when ignoring the direction of edges. Here is a directed graph. In the graph, (u, v) means that there is an edge from node u to ...
2
graph_weakly_connected_number
The task is to determine the dominating set of a graph. A dominating set is a subset of nodes such that every node in the graph is either in the set or adjacent to a node in the set. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6...
[1,2,3,4,5,11]
graph_dominating_set
The task is to determine if the graph is Eulerian. An Eulerian graph is a graph that contains an Eulerian circuit, which is a cycle that visits every edge exactly once. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, and 5. The graph c...
Yes
graph_is_eularian
The task is to determine the local connectivity of two nodes in the graph. Local connectivity is whether there exists at least one path between the two nodes. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, and 5. The graph contains ed...
Yes
graph_local_connectivity
The task is to determine the diameter of a graph. The diameter of a graph is the longest shortest path between any two nodes in the graph. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, and 8. The graph contains edges: (1, 4)...
7
graph_diameter
The task is to determine the minimum edge covering of a graph. An edge cover is a set of edges such that every vertex in the graph is incident to at least one edge in the set. The minimum edge cover is the edge cover with the smallest number of edges. Here is an undirected graph. In the graph, (u, v) means that node u...
[(2,10),(3,1),(4,5),(6,11),(7,8),(12,14),(13,9)]
graph_min_edge_covering
The task is to determine the minimum vertex cover of a graph. A vertex cover is a set of nodes such that every edge in the graph is incident to at least one node in the set. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9...
[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25]
graph_min_vertex_cover
The task is to determine the density of the graph. Density is defined as the ratio of the number of edges in the graph to the number of possible edges. For undirected graphs, the density is 2*m/(n*(n-1)), where m is the edge number and n is the node number. For directed graphs, the density is m/(n*(n-1)). Here is an u...
0.12380952380952381
graph_density
The task is to determine the minimum vertex cover of a graph. A vertex cover is a set of nodes such that every edge in the graph is incident to at least one node in the set. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9...
[1,2,3,4,5,6,7,8,9,10,11,13,14,16]
graph_min_vertex_cover
The task is to determine the barycenter of a graph. The barycenter of a graph is also called the median. It includes the node that minimizes the sum of distances to all other nodes. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6,...
[6]
graph_barycenter
The task is to determine the Wiener index of a connected graph. The Wiener index of a graph is the sum of the shortest-path distances between each pair of reachable nodes. For pairs of nodes in undirected graphs, only one orientation of the pair is counted. Here is an undirected graph. In the graph, (u, v) means that ...
54.0
graph_wiener_index
The task is to determine the periphery of a graph. The periphery of a graph is the set of nodes that are farthest from the center of the graph. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, and 9. The graph contains edges...
[7,9]
graph_periphery
The task is to determine the average degree of the neighbors of a node in the graph. Here is a directed graph. In the graph, (u, v) means that there is an edge from node u to node v. The graph contains nodes: 1, 2, 3, and 4. The graph contains edges: (1, 4), (2, 3). Question: What is the average neighbor degree of no...
0.0
graph_avg_neighbor_degree
The task is to determine the Wiener index of a connected graph. The Wiener index of a graph is the sum of the shortest-path distances between each pair of reachable nodes. For pairs of nodes in undirected graphs, only one orientation of the pair is counted. Here is a directed graph. In the graph, (u, v) means that the...
128
graph_wiener_index
The task is to determine the radius of a graph. The radius of a graph is the minimum eccentricity of any node in the graph. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, ...
6
graph_radius
The task is to determine the breadth-first search (BFS) traversal order given a starting node. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, and 23. The graph contain...
[(18,4),(4,5),(4,15),(4,22),(4,23),(23,10)]
graph_bfs
The task is to determine the periphery of a graph. The periphery of a graph is the set of nodes that are farthest from the center of the graph. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, ...
[9,15,19,29]
graph_periphery
The task is to determine the number of weakly connected components in a directed graph. A weakly connected component is a maximal subgraph where every node is reachable from every other node when ignoring the direction of edges. Here is a directed graph. In the graph, (u, v) means that there is an edge from node u to ...
6
graph_weakly_connected_number
The task is to determine the density of the graph. Density is defined as the ratio of the number of edges in the graph to the number of possible edges. For undirected graphs, the density is 2*m/(n*(n-1)), where m is the edge number and n is the node number. For directed graphs, the density is m/(n*(n-1)). Here is an u...
0.21637426900584794
graph_density
The task is to determine the topological sort of a directed acyclic graph (DAG). Here is a directed graph. In the graph, (u, v) means that there is an edge from node u to node v. The graph contains nodes: 1, 2, 3, 4, 5, and 6. The graph contains edges: (2, 1), (3, 6), (6, 4), (5, 2). Question: What is the topological...
[3,5,6,2,4,1]
graph_topological_sort
The task is to determine the topological sort of a directed acyclic graph (DAG). Here is a directed graph. In the graph, (u, v) means that there is an edge from node u to node v. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, and 12. The graph contains edges: (3, 8), (8, 1), (4, 6), (4, 7), (6, 2), (6, 1...
[5,12,9,3,11,8,4,1,7,6,10,2]
graph_topological_sort
Given two nodes u and v, the task is to determine the shortest path between u and v (for directed graph, from u to v). Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, and 9. The graph contains edges: (1, 2), (1, 3), (1, 4),...
[8,3,1,4,9]
graph_shortest_path
The task is to find the number of triangles that include a specific node as one vertex. A triangle is a set of three nodes that are all connected to each other. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12,...
0
graph_triangles
The task is to determine the minimum vertex cover of a graph. A vertex cover is a set of nodes such that every edge in the graph is incident to at least one node in the set. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9...
[1,2,3,4,6,7,8,9,10,12,14,15,16,17,19,21,24,25,26,28]
graph_min_vertex_cover
The task is to determine the degree centrality of a node in the graph. The degree centrality values are normalized by dividing by the maximum possible degree in a graph. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10...
0.06451612903225806
graph_degree_centrality
The task is to determine the resource allocation index of two nodes in a graph. The resource allocation index of two nodes is the sum of the inverse of the degrees of the common neighbors of the two nodes. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains ...
0
graph_resource_allocation_index
The task is to determine if the directed graph is strongly connected. A directed graph is strongly connected if there is a directed path between every pair of vertices. Here is a directed graph. In the graph, (u, v) means that there is an edge from node u to node v. The graph contains nodes: 1, 2, 3, 4, and 5. The gra...
Yes
graph_is_strongly_connected
The task is to determine the local connectivity of two nodes in the graph. Local connectivity is whether there exists at least one path between the two nodes. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, a...
No
graph_local_connectivity
The task is to determine the degree centrality of a node in the graph. The degree centrality values are normalized by dividing by the maximum possible degree in a graph. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10...
0.2222222222222222
graph_degree_centrality
The task is to determine the degree of a node in the graph. For the undirected graph, you should count the edge between two nodes only once. Here is an undirected graph. In the graph, (u, v) means that node u and node v are connected. The graph contains nodes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, and 14. The gra...
1
graph_degree