prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the SAN+LapPE model in the Long Range Graph Benchmark paper on the PascalVOC-SP dataset? | macro F1 |
What metrics were used to measure the SAN+RWSE model in the Long Range Graph Benchmark paper on the PascalVOC-SP dataset? | macro F1 |
What metrics were used to measure the GatedGCN+LapPE+virtual node model in the On the Connection Between MPNN and Graph Transformer paper on the PascalVOC-SP dataset? | macro F1 |
What metrics were used to measure the GatedGCN model in the Long Range Graph Benchmark paper on the PascalVOC-SP dataset? | macro F1 |
What metrics were used to measure the GatedGCN+LapPE model in the Long Range Graph Benchmark paper on the PascalVOC-SP dataset? | macro F1 |
What metrics were used to measure the Transformer+LapPE model in the Long Range Graph Benchmark paper on the PascalVOC-SP dataset? | macro F1 |
What metrics were used to measure the GCNII model in the Simple and Deep Graph Convolutional Networks paper on the PascalVOC-SP dataset? | macro F1 |
What metrics were used to measure the GCN model in the Long Range Graph Benchmark paper on the PascalVOC-SP dataset? | macro F1 |
What metrics were used to measure the GINE model in the Long Range Graph Benchmark paper on the PascalVOC-SP dataset? | macro F1 |
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 USA Air-Traffic 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 USA Air-Traffic dataset? | Accuracy |
What metrics were used to measure the Planetoid* model in the Revisiting Semi-Supervised Learning with Graph Embeddings paper on the USA Air-Traffic dataset? | Accuracy |
What metrics were used to measure the GAT (Velickovic et al., 2018) model in the Graph Attention Networks paper on the USA Air-Traffic 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 USA Air-Traffic dataset? | Accuracy |
What metrics were used to measure the Intersection (Li et al., 2018) model in the Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning paper on the USA Air-Traffic 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 USA Air-Traffic dataset? | Accuracy |
What metrics were used to measure the Exphormer model in the Exphormer: Sparse Transformers for Graphs paper on the Amazon Computers 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 Computers 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 Computers 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 Computers 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 Computers 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 Computers 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 PubMed (0.05%) 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 PubMed (0.05%) 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 PubMed (0.05%) dataset? | Accuracy |
What metrics were used to measure the MT-GCN model in the Mutual Teaching for Graph Convolutional Networks paper on the PubMed (0.05%) 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 PubMed (0.05%) 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 PubMed (0.05%) dataset? | Accuracy |
What metrics were used to measure the LanczosNet model in the LanczosNet: Multi-Scale Deep Graph Convolutional Networks paper on the PubMed (0.05%) dataset? | Accuracy |
What metrics were used to measure the DCNN model in the Diffusion-Convolutional Neural Networks paper on the PubMed (0.05%) dataset? | Accuracy |
What metrics were used to measure the AdaLanczosNet model in the LanczosNet: Multi-Scale Deep Graph Convolutional Networks paper on the PubMed (0.05%) dataset? | Accuracy |
What metrics were used to measure the GGNN model in the Gated Graph Sequence Neural Networks paper on the PubMed (0.05%) 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 PubMed (0.05%) dataset? | Accuracy |
What metrics were used to measure the GraphSAGE model in the Inductive Representation Learning on Large Graphs paper on the PubMed (0.05%) dataset? | Accuracy |
What metrics were used to measure the GAT model in the Graph Attention Networks paper on the PubMed (0.05%) 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 PubMed (0.05%) 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 MS ACADEMIC dataset? | Accuracy |
What metrics were used to measure the APPNP (AdaGCN authors) model in the AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models paper on the MS ACADEMIC dataset? | Accuracy |
What metrics were used to measure the AdaGCN model in the AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models paper on the MS ACADEMIC dataset? | Accuracy |
What metrics were used to measure the g2-MLP model in the A Proposal of Multi-Layer Perceptron with Graph Gating Unit for Graph Representation Learning and its Application to Surrogate Model for FEM paper on the PPI dataset? | F1, Micro-F1, Micro F1 |
What metrics were used to measure the GCNII* model in the Simple and Deep Graph Convolutional Networks paper on the PPI dataset? | F1, Micro-F1, Micro F1 |
What metrics were used to measure the GraphSAINT model in the GraphSAINT: Graph Sampling Based Inductive Learning Method paper on the PPI dataset? | F1, Micro-F1, Micro F1 |
What metrics were used to measure the SGAS model in the SGAS: Sequential Greedy Architecture Search paper on the PPI dataset? | F1, Micro-F1, Micro F1 |
What metrics were used to measure the DenseMRGCN-14 model in the DeepGCNs: Making GCNs Go as Deep as CNNs paper on the PPI dataset? | F1, Micro-F1, Micro F1 |
What metrics were used to measure the ResMRGCN-28 model in the DeepGCNs: Making GCNs Go as Deep as CNNs paper on the PPI dataset? | F1, Micro-F1, Micro F1 |
What metrics were used to measure the GraphStar model in the Graph Star Net for Generalized Multi-Task Learning paper on the PPI dataset? | F1, Micro-F1, Micro F1 |
What metrics were used to measure the GCN + SAF model in the The Split Matters: Flat Minima Methods for Improving the Performance of GNNs paper on the PPI dataset? | F1, Micro-F1, Micro F1 |
What metrics were used to measure the Cluster-GCN model in the Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks paper on the PPI dataset? | F1, Micro-F1, Micro F1 |
What metrics were used to measure the GAT + PGN model in the The Split Matters: Flat Minima Methods for Improving the Performance of GNNs paper on the PPI dataset? | F1, Micro-F1, Micro 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 PPI dataset? | F1, Micro-F1, Micro F1 |
What metrics were used to measure the GaAN model in the GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs paper on the PPI dataset? | F1, Micro-F1, Micro F1 |
What metrics were used to measure the GraphNAS model in the GraphNAS: Graph Neural Architecture Search with Reinforcement Learning paper on the PPI dataset? | F1, Micro-F1, Micro F1 |
What metrics were used to measure the JK-LSTM model in the Representation Learning on Graphs with Jumping Knowledge Networks paper on the PPI dataset? | F1, Micro-F1, Micro F1 |
What metrics were used to measure the VQ-GNN (GAT) model in the VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization paper on the PPI dataset? | F1, Micro-F1, Micro F1 |
What metrics were used to measure the GAT model in the Graph Attention Networks paper on the PPI dataset? | F1, Micro-F1, Micro F1 |
What metrics were used to measure the SIGN model in the SIGN: Scalable Inception Graph Neural Networks paper on the PPI dataset? | F1, Micro-F1, Micro F1 |
What metrics were used to measure the ClusterGCN model in the Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks paper on the PPI dataset? | F1, Micro-F1, Micro F1 |
What metrics were used to measure the LGCN model in the Large-Scale Learnable Graph Convolutional Networks paper on the PPI dataset? | F1, Micro-F1, Micro F1 |
What metrics were used to measure the GRACE model in the Deep Graph Contrastive Representation Learning paper on the PPI dataset? | F1, Micro-F1, Micro F1 |
What metrics were used to measure the GraphSAGE model in the Inductive Representation Learning on Large Graphs paper on the PPI dataset? | F1, Micro-F1, Micro F1 |
What metrics were used to measure the PairE model in the Graph Representation Learning Beyond Node and Homophily paper on the PPI dataset? | F1, Micro-F1, Micro F1 |
What metrics were used to measure the GCNII model in the Simple and Deep Graph Convolutional Networks paper on the PubMed (48%/32%/20% fixed splits) dataset? | 1:1 Accuracy, Accuracy |
What metrics were used to measure the Geom-GCN model in the Geom-GCN: Geometric Graph Convolutional Networks paper on the PubMed (48%/32%/20% fixed splits) dataset? | 1:1 Accuracy, Accuracy |
What metrics were used to measure the ACMII-GCN model in the Revisiting Heterophily For Graph Neural Networks paper on the PubMed (48%/32%/20% fixed splits) dataset? | 1:1 Accuracy, Accuracy |
What metrics were used to measure the ACM-GCN+ model in the Revisiting Heterophily For Graph Neural Networks paper on the PubMed (48%/32%/20% fixed splits) dataset? | 1:1 Accuracy, Accuracy |
What metrics were used to measure the ACMII-GCN+ model in the Revisiting Heterophily For Graph Neural Networks paper on the PubMed (48%/32%/20% fixed splits) dataset? | 1:1 Accuracy, Accuracy |
What metrics were used to measure the ACMII-GCN++ model in the Revisiting Heterophily For Graph Neural Networks paper on the PubMed (48%/32%/20% fixed splits) dataset? | 1:1 Accuracy, Accuracy |
What metrics were used to measure the ACM-GCN++ model in the Revisiting Heterophily For Graph Neural Networks paper on the PubMed (48%/32%/20% fixed splits) dataset? | 1:1 Accuracy, 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 PubMed (48%/32%/20% fixed splits) dataset? | 1:1 Accuracy, 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 PubMed (48%/32%/20% fixed splits) dataset? | 1:1 Accuracy, 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 PubMed (48%/32%/20% fixed splits) dataset? | 1:1 Accuracy, 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 PubMed (48%/32%/20% fixed splits) dataset? | 1:1 Accuracy, 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 PubMed (48%/32%/20% fixed splits) dataset? | 1:1 Accuracy, 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 PubMed (48%/32%/20% fixed splits) dataset? | 1:1 Accuracy, Accuracy |
What metrics were used to measure the GESN model in the Addressing Heterophily in Node Classification with Graph Echo State Networks paper on the PubMed (48%/32%/20% fixed splits) dataset? | 1:1 Accuracy, 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 PubMed (48%/32%/20% fixed splits) dataset? | 1:1 Accuracy, Accuracy |
What metrics were used to measure the ACM-SGC-2 model in the Revisiting Heterophily For Graph Neural Networks paper on the PubMed (48%/32%/20% fixed splits) dataset? | 1:1 Accuracy, Accuracy |
What metrics were used to measure the NLGCN model in the Non-Local Graph Neural Networks paper on the PubMed (48%/32%/20% fixed splits) dataset? | 1:1 Accuracy, 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 PubMed (48%/32%/20% fixed splits) dataset? | 1:1 Accuracy, Accuracy |
What metrics were used to measure the ACM-SGC-1 model in the Revisiting Heterophily For Graph Neural Networks paper on the PubMed (48%/32%/20% fixed splits) dataset? | 1:1 Accuracy, Accuracy |
What metrics were used to measure the NLMLP model in the Non-Local Graph Neural Networks paper on the PubMed (48%/32%/20% fixed splits) dataset? | 1:1 Accuracy, Accuracy |
What metrics were used to measure the NLGAT model in the Non-Local Graph Neural Networks paper on the PubMed (48%/32%/20% fixed splits) dataset? | 1:1 Accuracy, Accuracy |
What metrics were used to measure the FAGCN model in the Beyond Low-frequency Information in Graph Convolutional Networks paper on the PubMed (48%/32%/20% fixed splits) dataset? | 1:1 Accuracy, 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 PubMed (48%/32%/20% fixed splits) dataset? | 1:1 Accuracy, Accuracy |
What metrics were used to measure the GPRGCN model in the Adaptive Universal Generalized PageRank Graph Neural Network paper on the PubMed (48%/32%/20% fixed splits) dataset? | 1:1 Accuracy, 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 PubMed (48%/32%/20% fixed splits) dataset? | 1:1 Accuracy, Accuracy |
What metrics were used to measure the GREAD-BS model in the GREAD: Graph Neural Reaction-Diffusion Networks paper on the PubMed (48%/32%/20% fixed splits) dataset? | 1:1 Accuracy, Accuracy |
What metrics were used to measure the ACM-GCN++ model in the Revisiting Heterophily For Graph Neural Networks paper on the Texas (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 Texas (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 Texas (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 Texas (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 Texas (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 Texas (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 Texas (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 Texas (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 Texas (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 Texas (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 Texas (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 Texas (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 Texas (60%/20%/20% random splits) dataset? | 1:1 Accuracy |
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