prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the GCN-LPA model in the Unifying Graph Convolutional Neural Networks and Label Propagation paper on the Coauthor Phy dataset? | Accuracy |
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 Coauthor Phy 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 Bitcoin-Alpha dataset? | F1-score |
What metrics were used to measure the ACM-GCN+ model in the Revisiting Heterophily For Graph Neural Networks paper on the Chameleon (60%/20%/20% random splits) dataset? | 1:1 Accuracy |
What metrics were used to measure the ACMII-GCN++ model in the Revisiting Heterophily For Graph Neural Networks paper on the Chameleon (60%/20%/20% random splits) dataset? | 1:1 Accuracy |
What metrics were used to measure the ACMII-GCN+ model in the Revisiting Heterophily For Graph Neural Networks paper on the Chameleon (60%/20%/20% random splits) dataset? | 1:1 Accuracy |
What metrics were used to measure the ACM-GCN++ model in the Revisiting Heterophily For Graph Neural Networks paper on the Chameleon (60%/20%/20% random splits) dataset? | 1:1 Accuracy |
What metrics were used to measure the ACM-Snowball-2 model in the Revisiting Heterophily For Graph Neural Networks paper on the Chameleon (60%/20%/20% random splits) dataset? | 1:1 Accuracy |
What metrics were used to measure the ACM-Snowball-3 model in the Revisiting Heterophily For Graph Neural Networks paper on the Chameleon (60%/20%/20% random splits) dataset? | 1:1 Accuracy |
What metrics were used to measure the ACMII-GCN model in the Revisiting Heterophily For Graph Neural Networks paper on the Chameleon (60%/20%/20% random splits) dataset? | 1:1 Accuracy |
What metrics were used to measure the BernNet model in the BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation paper on the Chameleon (60%/20%/20% random splits) dataset? | 1:1 Accuracy |
What metrics were used to measure the GAT+JK model in the Revisiting Heterophily For Graph Neural Networks paper on the Chameleon (60%/20%/20% random splits) dataset? | 1:1 Accuracy |
What metrics were used to measure the ACMII-Snowball-2 model in the Revisiting Heterophily For Graph Neural Networks paper on the Chameleon (60%/20%/20% random splits) dataset? | 1:1 Accuracy |
What metrics were used to measure the ACMII-Snowball-3 model in the Revisiting Heterophily For Graph Neural Networks paper on the Chameleon (60%/20%/20% random splits) dataset? | 1:1 Accuracy |
What metrics were used to measure the GPRGNN model in the Adaptive Universal Generalized PageRank Graph Neural Network paper on the Chameleon (60%/20%/20% random splits) dataset? | 1:1 Accuracy |
What metrics were used to measure the Snowball-3 model in the Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks paper on the Chameleon (60%/20%/20% random splits) dataset? | 1:1 Accuracy |
What metrics were used to measure the Snowball-2 model in the Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks paper on the Chameleon (60%/20%/20% random splits) dataset? | 1:1 Accuracy |
What metrics were used to measure the SGC-1 model in the Simplifying Graph Convolutional Networks paper on the Chameleon (60%/20%/20% random splits) dataset? | 1:1 Accuracy |
What metrics were used to measure the GCN+JK model in the Revisiting Heterophily For Graph Neural Networks paper on the Chameleon (60%/20%/20% random splits) dataset? | 1:1 Accuracy |
What metrics were used to measure the GCN model in the Semi-Supervised Classification with Graph Convolutional Networks paper on the Chameleon (60%/20%/20% random splits) dataset? | 1:1 Accuracy |
What metrics were used to measure the GAT model in the Graph Attention Networks paper on the Chameleon (60%/20%/20% random splits) dataset? | 1:1 Accuracy |
What metrics were used to measure the ACM-SGC-1 model in the Revisiting Heterophily For Graph Neural Networks paper on the Chameleon (60%/20%/20% random splits) dataset? | 1:1 Accuracy |
What metrics were used to measure the HH-GraphSAGE model in the Half-Hop: A graph upsampling approach for slowing down message passing paper on the Chameleon (60%/20%/20% random splits) dataset? | 1:1 Accuracy |
What metrics were used to measure the GCNII* model in the Simple and Deep Graph Convolutional Networks paper on the Chameleon (60%/20%/20% random splits) dataset? | 1:1 Accuracy |
What metrics were used to measure the SGC-2 model in the Simplifying Graph Convolutional Networks paper on the Chameleon (60%/20%/20% random splits) dataset? | 1:1 Accuracy |
What metrics were used to measure the GraphSAGE model in the Inductive Representation Learning on Large Graphs paper on the Chameleon (60%/20%/20% random splits) dataset? | 1:1 Accuracy |
What metrics were used to measure the ACM-GCNII* model in the Revisiting Heterophily For Graph Neural Networks paper on the Chameleon (60%/20%/20% random splits) dataset? | 1:1 Accuracy |
What metrics were used to measure the HH-GAT model in the Half-Hop: A graph upsampling approach for slowing down message passing paper on the Chameleon (60%/20%/20% random splits) dataset? | 1:1 Accuracy |
What metrics were used to measure the Geom-GCN* model in the Geom-GCN: Geometric Graph Convolutional Networks paper on the Chameleon (60%/20%/20% random splits) dataset? | 1:1 Accuracy |
What metrics were used to measure the ACM-SGC-2 model in the Revisiting Heterophily For Graph Neural Networks paper on the Chameleon (60%/20%/20% random splits) dataset? | 1:1 Accuracy |
What metrics were used to measure the GCNII model in the Simple and Deep Graph Convolutional Networks paper on the Chameleon (60%/20%/20% random splits) dataset? | 1:1 Accuracy |
What metrics were used to measure the HH-GCN model in the Half-Hop: A graph upsampling approach for slowing down message passing paper on the Chameleon (60%/20%/20% random splits) dataset? | 1:1 Accuracy |
What metrics were used to measure the ACM-GCNII model in the Revisiting Heterophily For Graph Neural Networks paper on the Chameleon (60%/20%/20% random splits) dataset? | 1:1 Accuracy |
What metrics were used to measure the H2GCN model in the Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs paper on the Chameleon (60%/20%/20% random splits) dataset? | 1:1 Accuracy |
What metrics were used to measure the APPNP model in the Predict then Propagate: Graph Neural Networks meet Personalized PageRank paper on the Chameleon (60%/20%/20% random splits) dataset? | 1:1 Accuracy |
What metrics were used to measure the FAGCN model in the Beyond Low-frequency Information in Graph Convolutional Networks paper on the Chameleon (60%/20%/20% random splits) dataset? | 1:1 Accuracy |
What metrics were used to measure the MLP-2 model in the Revisiting Heterophily For Graph Neural Networks paper on the Chameleon (60%/20%/20% random splits) dataset? | 1:1 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 (60%/20%/20% random splits) dataset? | 1:1 Accuracy |
What metrics were used to measure the Exphormer model in the Exphormer: Sparse Transformers for Graphs paper on the AMZ Photo dataset? | Accuracy |
What metrics were used to measure the GraphSAGE model in the Half-Hop: A graph upsampling approach for slowing down message passing paper on the AMZ Photo dataset? | Accuracy |
What metrics were used to measure the HH-GraphSAGE model in the Half-Hop: A graph upsampling approach for slowing down message passing paper on the AMZ Photo dataset? | Accuracy |
What metrics were used to measure the HH-GCN model in the Half-Hop: A graph upsampling approach for slowing down message passing paper on the AMZ Photo dataset? | Accuracy |
What metrics were used to measure the CPF-ind-GAT model in the Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework paper on the AMZ Photo dataset? | Accuracy |
What metrics were used to measure the GCN model in the Half-Hop: A graph upsampling approach for slowing down message passing paper on the AMZ Photo dataset? | Accuracy |
What metrics were used to measure the JK (Heat Diffusion) model in the Diffusion Improves Graph Learning paper on the AMZ Photo dataset? | Accuracy |
What metrics were used to measure the GLNN model in the Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation paper on the AMZ Photo dataset? | Accuracy |
What metrics were used to measure the DAGNN (Ours) model in the Towards Deeper Graph Neural Networks paper on the AMZ Photo dataset? | Accuracy |
What metrics were used to measure the SIGN model in the SIGN: Scalable Inception Graph Neural Networks paper on the AMZ Photo dataset? | Accuracy |
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 AMZ Photo dataset? | Accuracy |
What metrics were used to measure the SCENE model in the SCENE: Reasoning about Traffic Scenes using Heterogeneous Graph Neural Networks paper on the BGS dataset? | Accuracy |
What metrics were used to measure the RDF2Vec+SVM model in the RDF2Vec: RDF Graph Embeddings and Their Applications paper on the BGS dataset? | Accuracy |
What metrics were used to measure the Path Tree model in the Inducing a Decision Tree with Discriminative Paths to Classify Entities in a Knowledge Graph paper on the BGS dataset? | Accuracy |
What metrics were used to measure the RR-GCN-PPV-CUT model in the R-GCN: The R Could Stand for Random paper on the BGS dataset? | Accuracy |
What metrics were used to measure the R-GCN model in the Modeling Relational Data with Graph Convolutional Networks paper on the BGS dataset? | Accuracy |
What metrics were used to measure the RR-GCN-PPV model in the R-GCN: The R Could Stand for Random paper on the BGS 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 random partition dataset? | Accuracy |
What metrics were used to measure the LaBSE model in the MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network Dataset paper on the MuMiN-small dataset? | Claim Classification Macro-F1, Tweet Classification Macro-F1 |
What metrics were used to measure the HeteroGraphSAGE model in the MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network Dataset paper on the MuMiN-small dataset? | Claim Classification Macro-F1, Tweet Classification Macro-F1 |
What metrics were used to measure the Majority class model in the MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network Dataset paper on the MuMiN-small dataset? | Claim Classification Macro-F1, Tweet Classification Macro-F1 |
What metrics were used to measure the Random model in the MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network Dataset paper on the MuMiN-small dataset? | Claim Classification Macro-F1, Tweet Classification Macro-F1 |
What metrics were used to measure the HH-GCN model in the Half-Hop: A graph upsampling approach for slowing down message passing paper on the AMZ Comp dataset? | Accuracy |
What metrics were used to measure the GCN model in the Half-Hop: A graph upsampling approach for slowing down message passing paper on the AMZ Comp dataset? | Accuracy |
What metrics were used to measure the GCN (Heat Diffusion) model in the Diffusion Improves Graph Learning paper on the AMZ Comp dataset? | Accuracy |
What metrics were used to measure the HH-GraphSAGE model in the Half-Hop: A graph upsampling approach for slowing down message passing paper on the AMZ Comp dataset? | Accuracy |
What metrics were used to measure the SIGN model in the SIGN: Scalable Inception Graph Neural Networks paper on the AMZ Comp dataset? | Accuracy |
What metrics were used to measure the GraphSAGE model in the Half-Hop: A graph upsampling approach for slowing down message passing paper on the AMZ Comp dataset? | Accuracy |
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 AMZ Comp dataset? | Accuracy |
What metrics were used to measure the GraphSAGE model in the Half-Hop: A graph upsampling approach for slowing down message passing paper on the Wiki-CS dataset? | Accuracy |
What metrics were used to measure the HH-GraphSAGE model in the Half-Hop: A graph upsampling approach for slowing down message passing paper on the Wiki-CS dataset? | Accuracy |
What metrics were used to measure the HH-GCN model in the Half-Hop: A graph upsampling approach for slowing down message passing paper on the Wiki-CS dataset? | Accuracy |
What metrics were used to measure the GCN model in the Half-Hop: A graph upsampling approach for slowing down message passing paper on the Wiki-CS dataset? | Accuracy |
What metrics were used to measure the 3ference model in the Inferring from References with Differences for Semi-Supervised Node Classification on Graphs paper on the Amazon Photo dataset? | Accuracy |
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 Amazon Photo dataset? | Accuracy |
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 Amazon Photo dataset? | Accuracy |
What metrics were used to measure the LinkDistMLP model in the Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages paper on the Amazon Photo dataset? | Accuracy |
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 Amazon Photo dataset? | Accuracy |
What metrics were used to measure the FastGCN model in the GRAND+: Scalable Graph Random Neural Networks paper on the MAG-scholar-C dataset? | Accuracy |
What metrics were used to measure the PPRGo model in the GRAND+: Scalable Graph Random Neural Networks paper on the MAG-scholar-C dataset? | Accuracy |
What metrics were used to measure the GraphSAINT model in the GRAND+: Scalable Graph Random Neural Networks paper on the MAG-scholar-C dataset? | Accuracy |
What metrics were used to measure the GRAND+ model in the GRAND+: Scalable Graph Random Neural Networks paper on the MAG-scholar-C dataset? | Accuracy |
What metrics were used to measure the MT-GCN model in the Mutual Teaching for Graph Convolutional Networks paper on the CiteSeer (0.5%) dataset? | Accuracy |
What metrics were used to measure the VCHN model in the View-Consistent Heterogeneous Network on Graphs With Few Labeled Nodes paper on the CiteSeer (0.5%) 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 CiteSeer (0.5%) 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 CiteSeer (0.5%) 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 CiteSeer (0.5%) 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 CiteSeer (0.5%) dataset? | Accuracy |
What metrics were used to measure the AdaLanczosNet model in the LanczosNet: Multi-Scale Deep Graph Convolutional Networks paper on the CiteSeer (0.5%) dataset? | Accuracy |
What metrics were used to measure the LanczosNet model in the LanczosNet: Multi-Scale Deep Graph Convolutional Networks paper on the CiteSeer (0.5%) dataset? | Accuracy |
What metrics were used to measure the DCNN model in the Diffusion-Convolutional Neural Networks paper on the CiteSeer (0.5%) 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 CiteSeer (0.5%) dataset? | Accuracy |
What metrics were used to measure the GGNN model in the Gated Graph Convolutional Recurrent Neural Networks paper on the CiteSeer (0.5%) 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 CiteSeer (0.5%) dataset? | Accuracy |
What metrics were used to measure the GAT model in the Graph Attention Networks paper on the CiteSeer (0.5%) dataset? | Accuracy |
What metrics were used to measure the GraphSAGE model in the Inductive Representation Learning on Large Graphs paper on the CiteSeer (0.5%) dataset? | Accuracy |
What metrics were used to measure the RR-GCN-PPV-CUT (Unimportant relations removed) model in the R-GCN: The R Could Stand for Random paper on the AM dataset? | Accuracy |
What metrics were used to measure the SCENE model in the SCENE: Reasoning about Traffic Scenes using Heterogeneous Graph Neural Networks paper on the AM dataset? | Accuracy |
What metrics were used to measure the R-GCN model in the Modeling Relational Data with Graph Convolutional Networks paper on the AM dataset? | Accuracy |
What metrics were used to measure the RDF2Vec+SVM model in the RDF2Vec: RDF Graph Embeddings and Their Applications paper on the AM dataset? | Accuracy |
What metrics were used to measure the Path Tree model in the Inducing a Decision Tree with Discriminative Paths to Classify Entities in a Knowledge Graph paper on the AM dataset? | Accuracy |
What metrics were used to measure the RR-GCN-PPV-CUT model in the R-GCN: The R Could Stand for Random paper on the AM dataset? | Accuracy |
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