prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the SignGT model in the SignGT: Signed Attention-based Graph Transformer for Graph Representation Learning paper on the Actor 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 Actor 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 Actor dataset? | Accuracy |
What metrics were used to measure the NLMLP model in the Non-Local Graph Neural Networks paper on the Actor 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 Actor 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 Actor 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 Actor 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 Actor 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 Actor dataset? | Accuracy |
What metrics were used to measure the GCNII model in the Simple and Deep Graph Convolutional Networks paper on the Actor dataset? | Accuracy |
What metrics were used to measure the GPRGNN+DHGR model in the Make Heterophily Graphs Better Fit GNN: A Graph Rewiring Approach paper on the Actor 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 Actor dataset? | Accuracy |
What metrics were used to measure the ACM-GCN++ model in the Revisiting Heterophily For Graph Neural Networks paper on the Actor dataset? | Accuracy |
What metrics were used to measure the ACMII-GCN++ model in the Revisiting Heterophily For Graph Neural Networks paper on the Actor 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 Actor 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 Actor dataset? | Accuracy |
What metrics were used to measure the ACM-GCN model in the Revisiting Heterophily For Graph Neural Networks paper on the Actor 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 Actor dataset? | Accuracy |
What metrics were used to measure the ACMII-GCN model in the Revisiting Heterophily For Graph Neural Networks paper on the Actor dataset? | Accuracy |
What metrics were used to measure the ACM-GCN+ model in the Revisiting Heterophily For Graph Neural Networks paper on the Actor dataset? | Accuracy |
What metrics were used to measure the CNMPGNN model in the CN-Motifs Perceptive Graph Neural Networks paper on the Actor dataset? | Accuracy |
What metrics were used to measure the LSC-GNN model in the Restructuring Graph for Higher Homophily via Adaptive Spectral Clustering paper on the Actor dataset? | Accuracy |
What metrics were used to measure the ACMII-GCN+ model in the Revisiting Heterophily For Graph Neural Networks paper on the Actor 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 Actor 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 Actor dataset? | Accuracy |
What metrics were used to measure the ACM-SGC-2 model in the Revisiting Heterophily For Graph Neural Networks paper on the Actor dataset? | Accuracy |
What metrics were used to measure the ChebNet+Bregman model in the Bregman Graph Neural Network paper on the Actor 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 Actor dataset? | Accuracy |
What metrics were used to measure the ACM-SGC-1 model in the Revisiting Heterophily For Graph Neural Networks paper on the Actor dataset? | Accuracy |
What metrics were used to measure the GPRGCN model in the Adaptive Universal Generalized PageRank Graph Neural Network paper on the Actor dataset? | Accuracy |
What metrics were used to measure the FAGCN model in the Beyond Low-frequency Information in Graph Convolutional Networks paper on the Actor 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 Actor dataset? | 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 Actor dataset? | Accuracy |
What metrics were used to measure the Graph ESN model in the Beyond Homophily with Graph Echo State Networks paper on the Actor 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 Actor 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 Actor 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 Actor dataset? | Accuracy |
What metrics were used to measure the CT-Layer model in the DiffWire: Inductive Graph Rewiring via the Lovász Bound paper on the Actor dataset? | Accuracy |
What metrics were used to measure the Geom-GCN-P model in the Geom-GCN: Geometric Graph Convolutional Networks paper on the Actor dataset? | Accuracy |
What metrics were used to measure the NLGCN model in the Non-Local Graph Neural Networks paper on the Actor dataset? | Accuracy |
What metrics were used to measure the Geom-GCN-S model in the Geom-GCN: Geometric Graph Convolutional Networks paper on the Actor dataset? | Accuracy |
What metrics were used to measure the NLGAT model in the Non-Local Graph Neural Networks paper on the Actor dataset? | Accuracy |
What metrics were used to measure the CT-Layer (PE) model in the DiffWire: Inductive Graph Rewiring via the Lovász Bound paper on the Actor dataset? | Accuracy |
What metrics were used to measure the Geom-GCN-I model in the Geom-GCN: Geometric Graph Convolutional Networks paper on the Actor 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 Actor dataset? | Accuracy |
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-large dataset? | Claim Classification Macro-F1, Tweet Classification Macro-F1 |
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-large 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-large 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-large dataset? | Claim Classification Macro-F1, Tweet Classification Macro-F1 |
What metrics were used to measure the FavardGNN model in the Graph Neural Networks with Learnable and Optimal Polynomial Bases paper on the Film (60%/20%/20% random splits) dataset? | 1:1 Accuracy |
What metrics were used to measure the OptBasisGNN model in the Graph Neural Networks with Learnable and Optimal Polynomial Bases paper on the Film (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 Film (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 Film (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 Film (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 Film (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 Film (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 Film (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 Film (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 Film (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 Film (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 Film (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 Film (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 Film (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 Film (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 Film (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 Film (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 Film (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 Film (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 Film (60%/20%/20% random splits) dataset? | 1:1 Accuracy |
What metrics were used to measure the H2GCN model in the Beyond Low-frequency Information in Graph Convolutional Networks paper on the Film (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 Film (60%/20%/20% random splits) dataset? | 1:1 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 Film (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 Film (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 Film (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 Film (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 Film (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 Film (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 Film (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 Film (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 Film (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 Film (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 Film (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 Film (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 Film (60%/20%/20% random splits) dataset? | 1:1 Accuracy |
What metrics were used to measure the SSP model in the Optimization of Graph Neural Networks with Natural Gradient Descent paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the ACM-Snowball-3 model in the Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification? paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the SplineCNN model in the SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the ACMII-Snowball-3 model in the Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification? paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the ACMII-GCN model in the Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification? paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the ACM-Snowball-2 model in the Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification? paper on the Cora dataset? | Accuracy, Training Split, Validation |
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 Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the GAT + SWA model in the The Split Matters: Flat Minima Methods for Improving the Performance of GNNs paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the ACM-GCN model in the Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification? paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the GCN-LPA model in the Unifying Graph Convolutional Neural Networks and Label Propagation paper on the Cora dataset? | Accuracy, Training Split, Validation |
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 Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the CNMPGNN model in the CN-Motifs Perceptive Graph Neural Networks paper on the Cora dataset? | Accuracy, Training Split, Validation |
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 Cora dataset? | Accuracy, Training Split, Validation |
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 Cora dataset? | Accuracy, Training Split, Validation |
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 Cora dataset? | Accuracy, Training Split, Validation |
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 Cora dataset? | Accuracy, Training Split, Validation |
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