prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the CPF-ind-APPNP model in the Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework paper on the Cora (1%) dataset? | Accuracy |
What metrics were used to measure the Truncated Krylov model in the Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks paper on the Cora (1%) dataset? | Accuracy |
What metrics were used to measure the VHCN model in the View-Consistent Heterogeneous Network on Graphs With Few Labeled Nodes paper on the Cora (1%) dataset? | Accuracy |
What metrics were used to measure the Snowball (linear + tanh) model in the Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks paper on the Cora (1%) dataset? | Accuracy |
What metrics were used to measure the Snowball (tanh) model in the Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks paper on the Cora (1%) dataset? | Accuracy |
What metrics were used to measure the Snowball (linear) model in the Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks paper on the Cora (1%) dataset? | Accuracy |
What metrics were used to measure the MT-GCN model in the Mutual Teaching for Graph Convolutional Networks paper on the Cora (1%) dataset? | Accuracy |
What metrics were used to measure the AdaLanczosNet model in the LanczosNet: Multi-Scale Deep Graph Convolutional Networks paper on the Cora (1%) dataset? | Accuracy |
What metrics were used to measure the DCNN model in the Diffusion-Convolutional Neural Networks paper on the Cora (1%) dataset? | Accuracy |
What metrics were used to measure the LanczosNet model in the LanczosNet: Multi-Scale Deep Graph Convolutional Networks paper on the Cora (1%) dataset? | Accuracy |
What metrics were used to measure the GGNN model in the Gated Graph Sequence Neural Networks paper on the Cora (1%) dataset? | Accuracy |
What metrics were used to measure the GCN-FP model in the Convolutional Networks on Graphs for Learning Molecular Fingerprints paper on the Cora (1%) dataset? | Accuracy |
What metrics were used to measure the GraphSAGE model in the Inductive Representation Learning on Large Graphs paper on the Cora (1%) dataset? | Accuracy |
What metrics were used to measure the GAT model in the Graph Attention Networks paper on the Cora (1%) dataset? | Accuracy |
What metrics were used to measure the ChebyNet model in the Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering paper on the Cora (1%) dataset? | Accuracy |
What metrics were used to measure the DEMO-Net(weight) model in the DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification paper on the Wiki-Vote dataset? | Accuracy |
What metrics were used to measure the GAT (Velickovic et al., 2018) model in the Graph Attention Networks paper on the Wiki-Vote dataset? | Accuracy |
What metrics were used to measure the GCN_cheby (Kipf and Welling, 2017) model in the Semi-Supervised Classification with Graph Convolutional Networks paper on the Wiki-Vote dataset? | Accuracy |
What metrics were used to measure the Union (Li et al., 2018) model in the Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning paper on the Wiki-Vote dataset? | Accuracy |
What metrics were used to measure the GCN (Kipf and Welling, 2017) model in the Semi-Supervised Classification with Graph Convolutional Networks paper on the Wiki-Vote dataset? | Accuracy |
What metrics were used to measure the GraphSAGE (Hamilton et al., [2017a]) model in the Inductive Representation Learning on Large Graphs paper on the Wiki-Vote dataset? | Accuracy |
What metrics were used to measure the BNS-GCN model in the BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node Sampling paper on the Reddit dataset? | Accuracy, Micro-F1 |
What metrics were used to measure the shaDow-GAT model in the Decoupling the Depth and Scope of Graph Neural Networks paper on the Reddit dataset? | Accuracy, Micro-F1 |
What metrics were used to measure the shaDow-SAGE model in the Decoupling the Depth and Scope of Graph Neural Networks paper on the Reddit dataset? | Accuracy, Micro-F1 |
What metrics were used to measure the JKNet+DropEdge model in the DropEdge: Towards Deep Graph Convolutional Networks on Node Classification paper on the Reddit dataset? | Accuracy, Micro-F1 |
What metrics were used to measure the GraphSAINT model in the GraphSAINT: Graph Sampling Based Inductive Learning Method paper on the Reddit dataset? | Accuracy, Micro-F1 |
What metrics were used to measure the EnGCN model in the A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking paper on the Reddit dataset? | Accuracy, Micro-F1 |
What metrics were used to measure the SIGN model in the SIGN: Scalable Inception Graph Neural Networks paper on the Reddit dataset? | Accuracy, Micro-F1 |
What metrics were used to measure the ASGCN model in the Adaptive Sampling Towards Fast Graph Representation Learning paper on the Reddit dataset? | Accuracy, Micro-F1 |
What metrics were used to measure the PCAPass + XGBoost model in the Dimensionality Reduction Meets Message Passing for Graph Node Embeddings paper on the Reddit dataset? | Accuracy, Micro-F1 |
What metrics were used to measure the SSGC model in the Simple Spectral Graph Convolution paper on the Reddit dataset? | Accuracy, Micro-F1 |
What metrics were used to measure the VQ-GNN (SAGE-Mean) model in the VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization paper on the Reddit dataset? | Accuracy, Micro-F1 |
What metrics were used to measure the GraphSAGE model in the Inductive Representation Learning on Large Graphs paper on the Reddit dataset? | Accuracy, Micro-F1 |
What metrics were used to measure the FastGCN model in the FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling paper on the Reddit dataset? | Accuracy, Micro-F1 |
What metrics were used to measure the TGCL+ResNet model in the Deeper-GXX: Deepening Arbitrary GNNs paper on the Reddit dataset? | Accuracy, Micro-F1 |
What metrics were used to measure the GRACE model in the Deep Graph Contrastive Representation Learning paper on the Reddit dataset? | Accuracy, Micro-F1 |
What metrics were used to measure the CPF-tra-GCNII model in the Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework paper on the Cora: fixed 10 node per class dataset? | Accuracy |
What metrics were used to measure the GraphMix (GCN) model in the GraphMix: Improved Training of GNNs for Semi-Supervised Learning paper on the Cora: fixed 10 node per class dataset? | Accuracy |
What metrics were used to measure the A2DUG model in the Why Using Either Aggregated Features or Adjacency Lists in Directed or Undirected Graph? Empirical Study and Simple Classification Method paper on the wiki 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 wiki dataset? | ACCURACY |
What metrics were used to measure the Dual-Net GNN model in the Feature Selection: Key to Enhance Node Classification with Graph Neural Networks paper on the genius dataset? | Accuracy |
What metrics were used to measure the ACM-GCN++ model in the Revisiting Heterophily For Graph Neural Networks paper on the genius dataset? | Accuracy |
What metrics were used to measure the ACM-GCN+ model in the Revisiting Heterophily For Graph Neural Networks paper on the genius dataset? | Accuracy |
What metrics were used to measure the ACMII-GCN+ model in the Revisiting Heterophily For Graph Neural Networks paper on the genius dataset? | Accuracy |
What metrics were used to measure the ACMII-GCN++ model in the Revisiting Heterophily For Graph Neural Networks paper on the genius 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 genius dataset? | Accuracy |
What metrics were used to measure the G^2-GraphSAGE model in the Gradient Gating for Deep Multi-Rate Learning on Graphs paper on the genius 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 genius 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 genius 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 genius dataset? | Accuracy |
What metrics were used to measure the GCNII model in the Simple and Deep Graph Convolutional Networks paper on the genius dataset? | Accuracy |
What metrics were used to measure the GPRGCN model in the Adaptive Universal Generalized PageRank Graph Neural Network paper on the genius dataset? | Accuracy |
What metrics were used to measure the GCNJK model in the Finding Global Homophily in Graph Neural Networks When Meeting Heterophily paper on the genius dataset? | Accuracy |
What metrics were used to measure the GCN model in the Semi-Supervised Classification with Graph Convolutional Networks paper on the genius dataset? | Accuracy |
What metrics were used to measure the MLP model in the Finding Global Homophily in Graph Neural Networks When Meeting Heterophily paper on the genius dataset? | Accuracy |
What metrics were used to measure the APPNP model in the Predict then Propagate: Graph Neural Networks meet Personalized PageRank paper on the genius dataset? | Accuracy |
What metrics were used to measure the C&S 2-hop model in the Combining Label Propagation and Simple Models Out-performs Graph Neural Networks paper on the genius dataset? | Accuracy |
What metrics were used to measure the C&S 1-hop model in the Combining Label Propagation and Simple Models Out-performs Graph Neural Networks paper on the genius dataset? | Accuracy |
What metrics were used to measure the SGC 1-hop model in the Simplifying Graph Convolutional Networks paper on the genius dataset? | Accuracy |
What metrics were used to measure the SGC 2-hop model in the Simplifying Graph Convolutional Networks paper on the genius dataset? | Accuracy |
What metrics were used to measure the LINK model in the New Benchmarks for Learning on Non-Homophilous Graphs paper on the genius dataset? | Accuracy |
What metrics were used to measure the L Prop 2-hop model in the New Benchmarks for Learning on Non-Homophilous Graphs paper on the genius dataset? | Accuracy |
What metrics were used to measure the L Prop 1-hop model in the New Benchmarks for Learning on Non-Homophilous Graphs paper on the genius dataset? | Accuracy |
What metrics were used to measure the GATJK model in the New Benchmarks for Learning on Non-Homophilous Graphs paper on the genius dataset? | Accuracy |
What metrics were used to measure the GAT model in the Graph Attention Networks paper on the genius dataset? | Accuracy |
What metrics were used to measure the GraRep model in the GraRep: Learning Graph Representations with Global Structural Information paper on the 20NEWS dataset? | Accuracy |
What metrics were used to measure the OGC model in the From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited paper on the PubMed with Public Split: fixed 20 nodes per class dataset? | Accuracy, F1 |
What metrics were used to measure the CPF-tra-GCNII model in the Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework paper on the PubMed with Public Split: fixed 20 nodes per class dataset? | Accuracy, F1 |
What metrics were used to measure the GRAND model in the Graph Random Neural Network for Semi-Supervised Learning on Graphs paper on the PubMed with Public Split: fixed 20 nodes per class dataset? | Accuracy, F1 |
What metrics were used to measure the Graph-MLP + ASAM model in the The Split Matters: Flat Minima Methods for Improving the Performance of GNNs paper on the PubMed with Public Split: fixed 20 nodes per class dataset? | Accuracy, F1 |
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 PubMed with Public Split: fixed 20 nodes per class dataset? | Accuracy, F1 |
What metrics were used to measure the Truncated Krylov model in the Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks paper on the PubMed with Public Split: fixed 20 nodes per class dataset? | Accuracy, F1 |
What metrics were used to measure the SuperGAT MX model in the How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision paper on the PubMed with Public Split: fixed 20 nodes per class dataset? | Accuracy, F1 |
What metrics were used to measure the GraphMix (GCN) model in the GraphMix: Improved Training of GNNs for Semi-Supervised Learning paper on the PubMed with Public Split: fixed 20 nodes per class dataset? | Accuracy, F1 |
What metrics were used to measure the G-APPNP model in the Pre-train and Learn: Preserve Global Information for Graph Neural Networks paper on the PubMed with Public Split: fixed 20 nodes per class dataset? | Accuracy, F1 |
What metrics were used to measure the GGCM model in the From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited paper on the PubMed with Public Split: fixed 20 nodes per class dataset? | Accuracy, F1 |
What metrics were used to measure the DAGNN (Ours) model in the Towards Deeper Graph Neural Networks paper on the PubMed with Public Split: fixed 20 nodes per class dataset? | Accuracy, F1 |
What metrics were used to measure the GCN(predicted-targets) model in the GraphMix: Improved Training of GNNs for Semi-Supervised Learning paper on the PubMed with Public Split: fixed 20 nodes per class dataset? | Accuracy, F1 |
What metrics were used to measure the SSGC model in the Simple Spectral Graph Convolution paper on the PubMed with Public Split: fixed 20 nodes per class dataset? | Accuracy, F1 |
What metrics were used to measure the GCNII model in the Simple and Deep Graph Convolutional Networks paper on the PubMed with Public Split: fixed 20 nodes per class dataset? | Accuracy, F1 |
What metrics were used to measure the SSP model in the Optimization of Graph Neural Networks with Natural Gradient Descent paper on the PubMed with Public Split: fixed 20 nodes per class dataset? | Accuracy, F1 |
What metrics were used to measure the AIR-GCN model in the GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction paper on the PubMed with Public Split: fixed 20 nodes per class dataset? | Accuracy, F1 |
What metrics were used to measure the Graph-MLP model in the Graph Entropy Minimization for Semi-supervised Node Classification paper on the PubMed with Public Split: fixed 20 nodes per class dataset? | Accuracy, F1 |
What metrics were used to measure the H-GCN model in the Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification paper on the PubMed with Public Split: fixed 20 nodes per class dataset? | Accuracy, F1 |
What metrics were used to measure the GCN+DropEdge model in the paper on the PubMed with Public Split: fixed 20 nodes per class dataset? | Accuracy, F1 |
What metrics were used to measure the Snowball (tanh) model in the Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks paper on the PubMed with Public Split: fixed 20 nodes per class dataset? | Accuracy, F1 |
What metrics were used to measure the Snowball (linear) model in the Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks paper on the PubMed with Public Split: fixed 20 nodes per class dataset? | Accuracy, F1 |
What metrics were used to measure the GAT model in the Graph Attention Networks paper on the PubMed with Public Split: fixed 20 nodes per class dataset? | Accuracy, 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 PubMed with Public Split: fixed 20 nodes per class dataset? | Accuracy, F1 |
What metrics were used to measure the GEM model in the Graph Entropy Minimization for Semi-supervised Node Classification paper on the PubMed with Public Split: fixed 20 nodes per class dataset? | Accuracy, F1 |
What metrics were used to measure the G3NN model in the A Flexible Generative Framework for Graph-based Semi-supervised Learning paper on the PubMed with Public Split: fixed 20 nodes per class dataset? | Accuracy, F1 |
What metrics were used to measure the LanczosNet model in the LanczosNet: Multi-Scale Deep Graph Convolutional Networks paper on the PubMed with Public Split: fixed 20 nodes per class dataset? | Accuracy, F1 |
What metrics were used to measure the AdaLanczosNet model in the LanczosNet: Multi-Scale Deep Graph Convolutional Networks paper on the PubMed with Public Split: fixed 20 nodes per class dataset? | Accuracy, F1 |
What metrics were used to measure the DCNN model in the Diffusion-Convolutional Neural Networks paper on the PubMed with Public Split: fixed 20 nodes per class dataset? | Accuracy, F1 |
What metrics were used to measure the GraphSAGE model in the Inductive Representation Learning on Large Graphs paper on the PubMed with Public Split: fixed 20 nodes per class dataset? | Accuracy, F1 |
What metrics were used to measure the GCN-FP model in the Convolutional Networks on Graphs for Learning Molecular Fingerprints paper on the PubMed with Public Split: fixed 20 nodes per class dataset? | Accuracy, F1 |
What metrics were used to measure the GGNN model in the Gated Graph Sequence Neural Networks paper on the PubMed with Public Split: fixed 20 nodes per class dataset? | Accuracy, F1 |
What metrics were used to measure the CoLinkDist model in the Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages paper on the PubMed with Public Split: fixed 20 nodes per class dataset? | Accuracy, F1 |
What metrics were used to measure the CoLinkDistMLP model in the Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages paper on the PubMed with Public Split: fixed 20 nodes per class dataset? | Accuracy, F1 |
What metrics were used to measure the LinkDist model in the Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages paper on the PubMed with Public Split: fixed 20 nodes per class dataset? | Accuracy, F1 |
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