prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the GPRGNN model in the Adaptive Universal Generalized PageRank Graph Neural Network 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 MLP-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 APPNP model in the Predict then Propagate: Graph Neural Networks meet Personalized PageRank paper on the Texas (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 Texas (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 Texas (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 Texas (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 Texas (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 Texas (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 Texas (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 Texas (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 Texas (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 Texas (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 Texas (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 Texas (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 Texas (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 Texas (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 Texas (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 Texas (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 Texas (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 Texas (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 Texas (60%/20%/20% random splits) dataset? | 1:1 Accuracy |
What metrics were used to measure the FSGNN model in the Improving Graph Neural Networks with Simple Architecture Design paper on the Cornell 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 Cornell 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 Cornell dataset? | Accuracy |
What metrics were used to measure the UniG-Encoder model in the UniG-Encoder: A Universal Feature Encoder for Graph and Hypergraph Node Classification paper on the Cornell 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 Cornell dataset? | Accuracy |
What metrics were used to measure the ACMII-GCN++ model in the Revisiting Heterophily For Graph Neural Networks paper on the Cornell 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 Cornell 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 Cornell 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 Cornell dataset? | Accuracy |
What metrics were used to measure the Conn-NSD model in the Sheaf Neural Networks with Connection Laplacians paper on the Cornell dataset? | Accuracy |
What metrics were used to measure the ACMII-GCN model in the Revisiting Heterophily For Graph Neural Networks paper on the Cornell 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 Cornell 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 Cornell dataset? | Accuracy |
What metrics were used to measure the ACM-GCN+ model in the Revisiting Heterophily For Graph Neural Networks paper on the Cornell dataset? | Accuracy |
What metrics were used to measure the ACM-GCN++ model in the Revisiting Heterophily For Graph Neural Networks paper on the Cornell dataset? | Accuracy |
What metrics were used to measure the ACMII-GCN+ model in the Revisiting Heterophily For Graph Neural Networks paper on the Cornell dataset? | Accuracy |
What metrics were used to measure the ACM-GCN model in the Revisiting Heterophily For Graph Neural Networks paper on the Cornell dataset? | Accuracy |
What metrics were used to measure the NLMLP model in the Non-Local Graph Neural Networks paper on the Cornell 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 Cornell 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 Cornell 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 Cornell 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 Cornell dataset? | Accuracy |
What metrics were used to measure the TDGNN-w model in the Tree Decomposed Graph Neural Network paper on the Cornell dataset? | Accuracy |
What metrics were used to measure the GraphSAGE+DHGR model in the Make Heterophily Graphs Better Fit GNN: A Graph Rewiring Approach paper on the Cornell 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 Cornell dataset? | Accuracy |
What metrics were used to measure the ACM-SGC-1 model in the Revisiting Heterophily For Graph Neural Networks paper on the Cornell dataset? | Accuracy |
What metrics were used to measure the ACM-SGC-2 model in the Revisiting Heterophily For Graph Neural Networks paper on the Cornell dataset? | Accuracy |
What metrics were used to measure the CNMPGNN model in the CN-Motifs Perceptive Graph Neural Networks paper on the Cornell 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 Cornell dataset? | Accuracy |
What metrics were used to measure the Graph ESN model in the Beyond Homophily with Graph Echo State Networks paper on the Cornell 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 Cornell 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 Cornell dataset? | Accuracy |
What metrics were used to measure the GPRGCN model in the Adaptive Universal Generalized PageRank Graph Neural Network paper on the Cornell dataset? | Accuracy |
What metrics were used to measure the GCNII model in the Simple and Deep Graph Convolutional Networks paper on the Cornell 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 Cornell dataset? | Accuracy |
What metrics were used to measure the FAGCN model in the Beyond Low-frequency Information in Graph Convolutional Networks paper on the Cornell 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 Cornell 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 Cornell 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 Cornell dataset? | Accuracy |
What metrics were used to measure the Geom-GCN-P model in the Geom-GCN: Geometric Graph Convolutional Networks paper on the Cornell 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 Cornell dataset? | Accuracy |
What metrics were used to measure the NLGCN model in the Non-Local Graph Neural Networks paper on the Cornell dataset? | Accuracy |
What metrics were used to measure the Geom-GCN-I model in the Geom-GCN: Geometric Graph Convolutional Networks paper on the Cornell dataset? | Accuracy |
What metrics were used to measure the Geom-GCN-S model in the Geom-GCN: Geometric Graph Convolutional Networks paper on the Cornell dataset? | Accuracy |
What metrics were used to measure the NLGAT model in the Non-Local Graph Neural Networks paper on the Cornell 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 Cornell dataset? | Accuracy |
What metrics were used to measure the GraphGAN model in the GraphGAN: Graph Representation Learning with Generative Adversarial Nets paper on the Wikipedia dataset? | Accuracy, Macro-F1 |
What metrics were used to measure the Struc2vec model in the struc2vec: Learning Node Representations from Structural Identity paper on the Wikipedia dataset? | Accuracy, Macro-F1 |
What metrics were used to measure the DeepWalk model in the DeepWalk: Online Learning of Social Representations paper on the Wikipedia dataset? | Accuracy, Macro-F1 |
What metrics were used to measure the node2vec model in the node2vec: Scalable Feature Learning for Networks paper on the Wikipedia dataset? | Accuracy, Macro-F1 |
What metrics were used to measure the LINE model in the LINE: Large-scale Information Network Embedding paper on the Wikipedia dataset? | Accuracy, Macro-F1 |
What metrics were used to measure the ACM-Snowball-3 model in the Revisiting Heterophily For Graph Neural Networks paper on the PubMed (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 PubMed (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 PubMed (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 PubMed (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 PubMed (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 PubMed (60%/20%/20% random splits) dataset? | 1:1 Accuracy |
What metrics were used to measure the Graph-MLP + SAF model in the The Split Matters: Flat Minima Methods for Improving the Performance of GNNs paper on the PubMed (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 PubMed (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 PubMed (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 PubMed (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 PubMed (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 PubMed (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 PubMed (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 PubMed (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 PubMed (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 PubMed (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 PubMed (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 PubMed (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 PubMed (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 PubMed (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 PubMed (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 PubMed (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 PubMed (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 PubMed (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 PubMed (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 PubMed (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 PubMed (60%/20%/20% random splits) dataset? | 1:1 Accuracy |
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