prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
|---|---|
What metrics were used to measure the CNMPGNN model in the CN-Motifs Perceptive Graph Neural Networks paper on the Chameleon dataset? | Accuracy |
What metrics were used to measure the Ordered GNN model in the Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing paper on the Chameleon dataset? | Accuracy |
What metrics were used to measure the IIE-GNN model in the Enhancing Intra-class Information Extraction for Heterophilous Graphs: One Neural Architecture Search Approach paper on the Chameleon dataset? | Accuracy |
What metrics were used to measure the GCNH model in the GCNH: A Simple Method For Representation Learning On Heterophilous Graphs paper on the Chameleon dataset? | Accuracy |
What metrics were used to measure the GloGNN++ model in the Finding Global Homophily in Graph Neural Networks When Meeting Heterophily paper on the Chameleon dataset? | Accuracy |
What metrics were used to measure the GGCN model in the Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks paper on the Chameleon dataset? | Accuracy |
What metrics were used to measure the NLGCN model in the Non-Local Graph Neural Networks paper on the Chameleon dataset? | Accuracy |
What metrics were used to measure the GloGNN model in the Finding Global Homophily in Graph Neural Networks When Meeting Heterophily paper on the Chameleon dataset? | Accuracy |
What metrics were used to measure the UGT model in the Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-based Similarity paper on the Chameleon dataset? | Accuracy |
What metrics were used to measure the ACM-GCN model in the Revisiting Heterophily For Graph Neural Networks paper on the Chameleon dataset? | Accuracy |
What metrics were used to measure the Diag-NSD model in the Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs paper on the Chameleon dataset? | Accuracy |
What metrics were used to measure the 2-HiGCN model in the Higher-order Graph Convolutional Network with Flower-Petals Laplacians on Simplicial Complexes paper on the Chameleon dataset? | Accuracy |
What metrics were used to measure the ACMII-GCN model in the Revisiting Heterophily For Graph Neural Networks paper on the Chameleon dataset? | Accuracy |
What metrics were used to measure the LINKX model in the Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods paper on the Chameleon dataset? | Accuracy |
What metrics were used to measure the LSC-ARMA model in the Restructuring Graph for Higher Homophily via Adaptive Spectral Clustering paper on the Chameleon dataset? | Accuracy |
What metrics were used to measure the O(d)-NSD model in the Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs paper on the Chameleon dataset? | Accuracy |
What metrics were used to measure the Gen-NSD model in the Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs paper on the Chameleon dataset? | Accuracy |
What metrics were used to measure the NLGAT model in the Non-Local Graph Neural Networks paper on the Chameleon dataset? | Accuracy |
What metrics were used to measure the WRGAT model in the Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns paper on the Chameleon dataset? | Accuracy |
What metrics were used to measure the Conn-NSD model in the Sheaf Neural Networks with Connection Laplacians paper on the Chameleon dataset? | Accuracy |
What metrics were used to measure the FDGATII model in the FDGATII : Fast Dynamic Graph Attention with Initial Residual and Identity Mapping paper on the Chameleon dataset? | Accuracy |
What metrics were used to measure the ACM-SGC-1 model in the Revisiting Heterophily For Graph Neural Networks paper on the Chameleon dataset? | Accuracy |
What metrics were used to measure the GCNII model in the Simple and Deep Graph Convolutional Networks paper on the Chameleon dataset? | Accuracy |
What metrics were used to measure the GPRGCN model in the Adaptive Universal Generalized PageRank Graph Neural Network paper on the Chameleon dataset? | Accuracy |
What metrics were used to measure the Geom-GCN-P model in the Geom-GCN: Geometric Graph Convolutional Networks paper on the Chameleon dataset? | Accuracy |
What metrics were used to measure the MixHop model in the MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing paper on the Chameleon dataset? | Accuracy |
What metrics were used to measure the Geom-GCN-I model in the Geom-GCN: Geometric Graph Convolutional Networks paper on the Chameleon dataset? | Accuracy |
What metrics were used to measure the Geom-GCN-S model in the Geom-GCN: Geometric Graph Convolutional Networks paper on the Chameleon dataset? | Accuracy |
What metrics were used to measure the ACM-SGC-2 model in the Revisiting Heterophily For Graph Neural Networks paper on the Chameleon dataset? | Accuracy |
What metrics were used to measure the H2GCN-2 model in the Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs paper on the Chameleon dataset? | Accuracy |
What metrics were used to measure the H2GCN-1 model in the Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs paper on the Chameleon dataset? | Accuracy |
What metrics were used to measure the NLMLP model in the Non-Local Graph Neural Networks paper on the Chameleon dataset? | Accuracy |
What metrics were used to measure the FAGCN model in the Beyond Low-frequency Information in Graph Convolutional Networks paper on the Chameleon dataset? | Accuracy |
What metrics were used to measure the SDRF model in the Understanding over-squashing and bottlenecks on graphs via curvature paper on the Chameleon dataset? | Accuracy |
What metrics were used to measure the Dir-GNN model in the Edge Directionality Improves Learning on Heterophilic Graphs paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the HLP Concat model in the Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the FSGNN (8-hop) model in the Improving Graph Neural Networks with Simple Architecture Design paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the DJ-GNN model in the Diffusion-Jump GNNs: Homophiliation via Learnable Metric Filters paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the H2GCN+DHGR model in the Make Heterophily Graphs Better Fit GNN: A Graph Rewiring Approach paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the Graph ESN model in the Beyond Homophily with Graph Echo State Networks paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the SADE-GCN model in the Self-attention Dual Embedding for Graphs with Heterophily paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the UDGNN (GCN) model in the Universal Deep GNNs: Rethinking Residual Connection in GNNs from a Path Decomposition Perspective for Preventing the Over-smoothing paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the ACMII-GCN++ model in the Revisiting Heterophily For Graph Neural Networks paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the ACMII-GCN+ model in the Revisiting Heterophily For Graph Neural Networks paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the ACM-GCN++ model in the Revisiting Heterophily For Graph Neural Networks paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the ACM-GCN+ model in the Revisiting Heterophily For Graph Neural Networks paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the UGT model in the Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-based Similarity paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the SignGT model in the SignGT: Signed Attention-based Graph Transformer for Graph Representation Learning paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the CNMPGNN model in the CN-Motifs Perceptive Graph Neural Networks paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the LW-GCN model in the Label-Wise Graph Convolutional Network for Heterophilic Graphs paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the Ordered GNN model in the Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the GCNH model in the GCNH: A Simple Method For Representation Learning On Heterophilous Graphs paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the LINKX model in the Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the NLGCN model in the Non-Local Graph Neural Networks paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the GloGNN++ model in the Finding Global Homophily in Graph Neural Networks When Meeting Heterophily paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the GloGNN model in the Finding Global Homophily in Graph Neural Networks When Meeting Heterophily paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the IIE-GNN model in the Enhancing Intra-class Information Extraction for Heterophilous Graphs: One Neural Architecture Search Approach paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the NLGAT model in the Non-Local Graph Neural Networks paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the O(d)-NSD model in the Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the LCS-GAT model in the Restructuring Graph for Higher Homophily via Adaptive Spectral Clustering paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the ACM-GCN model in the Revisiting Heterophily For Graph Neural Networks paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the GGCN model in the Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the Diag-NSD model in the Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the Gen-NSD model in the Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the ACMII-GCN model in the Revisiting Heterophily For Graph Neural Networks paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the WRGAT model in the Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the GPRGCN model in the Adaptive Universal Generalized PageRank Graph Neural Network paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the Conn-NSD model in the Sheaf Neural Networks with Connection Laplacians paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the ACM-SGC-1 model in the Revisiting Heterophily For Graph Neural Networks paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the MixHop model in the MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the ACM-SGC-2 model in the Revisiting Heterophily For Graph Neural Networks paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the GCNII model in the Simple and Deep Graph Convolutional Networks paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the Geom-GCN-P model in the Geom-GCN: Geometric Graph Convolutional Networks paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the SDRF model in the Understanding over-squashing and bottlenecks on graphs via curvature paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the Geom-GCN-S model in the Geom-GCN: Geometric Graph Convolutional Networks paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the NLMLP model in the Non-Local Graph Neural Networks paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the Geom-GCN-I model in the Geom-GCN: Geometric Graph Convolutional Networks paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the H2GCN-2 model in the Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the FAGCN model in the Beyond Low-frequency Information in Graph Convolutional Networks paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the H2GCN-1 model in the Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs paper on the Squirrel dataset? | Accuracy |
What metrics were used to measure the DSGCN model in the Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks paper on the Cora: fixed 20 node per class dataset? | Accuracy, Micro F1 |
What metrics were used to measure the Self-supervised GraphMAE model in the GraphMAE: Self-Supervised Masked Graph Autoencoders paper on the Cora: fixed 20 node per class dataset? | Accuracy, Micro F1 |
What metrics were used to measure the LDS-GNN model in the Learning Discrete Structures for Graph Neural Networks paper on the Cora: fixed 20 node per class dataset? | Accuracy, Micro F1 |
What metrics were used to measure the SEGCN model in the Every Node Counts: Self-Ensembling Graph Convolutional Networks for Semi-Supervised Learning paper on the Cora: fixed 20 node per class dataset? | Accuracy, Micro F1 |
What metrics were used to measure the TREE-G model in the TREE-G: Decision Trees Contesting Graph Neural Networks paper on the Cora: fixed 20 node per class dataset? | Accuracy, Micro F1 |
What metrics were used to measure the SSGC model in the Simple Spectral Graph Convolution paper on the Cora: fixed 20 node per class dataset? | Accuracy, Micro F1 |
What metrics were used to measure the Graph InfoClust (GIC) model in the Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning paper on the Cora: fixed 20 node per class dataset? | Accuracy, Micro F1 |
What metrics were used to measure the PairE model in the Graph Representation Learning Beyond Node and Homophily paper on the Cora: fixed 20 node per class dataset? | Accuracy, Micro F1 |
What metrics were used to measure the 5-HiGCN model in the Higher-order Graph Convolutional Network with Flower-Petals Laplacians on Simplicial Complexes paper on the Wisconsin dataset? | Accuracy |
What metrics were used to measure the DJ-GNN model in the Diffusion-Jump GNNs: Homophiliation via Learnable Metric Filters paper on the Wisconsin dataset? | Accuracy |
What metrics were used to measure the O(d)-NSD model in the Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs paper on the Wisconsin dataset? | Accuracy |
What metrics were used to measure the Gen-NSD model in the Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs paper on the Wisconsin dataset? | Accuracy |
What metrics were used to measure the Conn-NSD model in the Sheaf Neural Networks with Connection Laplacians paper on the Wisconsin dataset? | Accuracy |
What metrics were used to measure the Diag-NSD model in the Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs paper on the Wisconsin dataset? | Accuracy |
What metrics were used to measure the SADE-GCN model in the Self-attention Dual Embedding for Graphs with Heterophily paper on the Wisconsin dataset? | Accuracy |
What metrics were used to measure the FSGNN model in the Improving Graph Neural Networks with Simple Architecture Design paper on the Wisconsin dataset? | Accuracy |
What metrics were used to measure the ACM-GCN model in the Revisiting Heterophily For Graph Neural Networks paper on the Wisconsin dataset? | Accuracy |
What metrics were used to measure the ACM-GCN+ model in the Revisiting Heterophily For Graph Neural Networks paper on the Wisconsin dataset? | Accuracy |
What metrics were used to measure the ACMII-GCN++ model in the Revisiting Heterophily For Graph Neural Networks paper on the Wisconsin dataset? | Accuracy |
What metrics were used to measure the ACM-GCN++ model in the Revisiting Heterophily For Graph Neural Networks paper on the Wisconsin dataset? | Accuracy |
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