prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the AS-GCN model in the Adaptive Sampling Towards Fast Graph Representation Learning paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the NodeNet model in the NodeNet: A Graph Regularised Neural Network for Node Classification paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the Cleora model in the Cleora: A Simple, Strong and Scalable Graph Embedding Scheme paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the DFNet-ATT model in the DFNets: Spectral CNNs for Graphs with Feedback-Looped Filters paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the MMA model in the Multi-Mask Aggregators for Graph Neural Networks paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the GResNet(GAT) model in the GResNet: Graph Residual Network for Reviving Deep GNNs from Suspended Animation paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the AdaGCN model in the AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the TDGNN model in the Tree Decomposed Graph Neural Network paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the PPNP model in the Predict then Propagate: Graph Neural Networks meet Personalized PageRank paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the DifNet model in the Get Rid of Suspended Animation Problem: Deep Diffusive Neural Network on Graph Semi-Supervised Classification paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the APPNP model in the Predict then Propagate: Graph Neural Networks meet Personalized PageRank paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the GOCN model in the Robust Graph Data Learning via Latent Graph Convolutional Representation paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the Graph U-Nets model in the Graph U-Nets paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the GResNet(GCN) model in the GResNet: Graph Residual Network for Reviving Deep GNNs from Suspended Animation paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the Graph-Bert model in the Graph-Bert: Only Attention is Needed for Learning Graph Representations paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the GraphNAS model in the GraphNAS: Graph Neural Architecture Search with Reinforcement Learning paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the LDS-GNN model in the Learning Discrete Structures for Graph Neural Networks paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the GAT (DGL) model in the Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the GResNet(LoopyNet) model in the GResNet: Graph Residual Network for Reviving Deep GNNs from Suspended Animation paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the CT-Layer (PE) model in the DiffWire: Inductive Graph Rewiring via the Lovász Bound paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the AGNN-w/o share model in the Auto-GNN: Neural Architecture Search of Graph Neural Networks paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the SPF-GCN model in the Structure fusion based on graph convolutional networks for semi-supervised classification paper on the Cora dataset? | Accuracy, Training Split, Validation |
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 Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the LGCN sub model in the Large-Scale Learnable Graph Convolutional Networks paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the SF-GCN model in the Structure fusion based on graph convolutional networks for semi-supervised classification paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the GRACE model in the Deep Graph Contrastive Representation Learning paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the hpGAT model in the hpGAT: High-order Proximity Informed Graph Attention Network paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the GAT model in the Graph Attention Networks paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the N-GCN model in the N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the GNN RH-U model in the Certifiable Robustness and Robust Training for Graph Convolutional Networks paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the G3NN model in the A Flexible Generative Framework for Graph-based Semi-supervised Learning paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the SDRF model in the Understanding over-squashing and bottlenecks on graphs via curvature paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the LoopyNet model in the GResNet: Graph Residual Network for Reviving Deep GNNs from Suspended Animation paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the GraphVAT model in the Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the DGI model in the Deep Graph Infomax paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the GCN + AdaGraph (AG) model in the Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the APPNP model in the Fast Graph Representation Learning with PyTorch Geometric paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the SNoRe model in the SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the GraphStar model in the Graph Star Net for Generalized Multi-Task Learning paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the Graphite model in the Graphite: Iterative Generative Modeling of Graphs paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the MixHop model in the MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the GraphScattering model in the Graph Convolutional Neural Networks via Scattering paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the GWNN model in the Graph Wavelet Neural Network paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the GCN model in the Semi-Supervised Classification with Graph Convolutional Networks paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the ChebNet model in the Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the MT-GCN model in the Mutual Teaching for Graph Convolutional Networks paper on the Cora dataset? | Accuracy, Training Split, Validation |
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 Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the Caps2NE model in the A Capsule Network-based Model for Learning Node Embeddings paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the HGCN model in the Hyperbolic Graph Convolutional Neural Networks paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the MTGAE model in the Multi-Task Graph Autoencoders paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the alpha-LoNGAE model in the Learning to Make Predictions on Graphs with Autoencoders paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the TGCL+ResNet model in the Deeper-GXX: Deepening Arbitrary GNNs paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the Planetoid* model in the Revisiting Semi-Supervised Learning with Graph Embeddings paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the CT-Layer model in the DiffWire: Inductive Graph Rewiring via the Lovász Bound paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the AttentionWalk model in the Watch Your Step: Learning Node Embeddings via Graph Attention paper on the Cora dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the Smooth GEMSEC 2 model in the GEMSEC: Graph Embedding with Self Clustering paper on the Deezer Hungary dataset? | Micro-F1 |
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 (0.03%) 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 (0.03%) 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 (0.03%) dataset? | Accuracy |
What metrics were used to measure the MT-GCN model in the Mutual Teaching for Graph Convolutional Networks paper on the PubMed (0.03%) 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 (0.03%) 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 (0.03%) dataset? | Accuracy |
What metrics were used to measure the AdaLanczosNet model in the LanczosNet: Multi-Scale Deep Graph Convolutional Networks paper on the PubMed (0.03%) dataset? | Accuracy |
What metrics were used to measure the DCNN model in the Diffusion-Convolutional Neural Networks paper on the PubMed (0.03%) dataset? | Accuracy |
What metrics were used to measure the LanczosNet model in the LanczosNet: Multi-Scale Deep Graph Convolutional Networks paper on the PubMed (0.03%) 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 (0.03%) dataset? | Accuracy |
What metrics were used to measure the GGNN model in the Gated Graph Sequence Neural Networks paper on the PubMed (0.03%) dataset? | Accuracy |
What metrics were used to measure the GAT model in the Graph Attention Networks paper on the PubMed (0.03%) dataset? | Accuracy |
What metrics were used to measure the GraphSAGE model in the Inductive Representation Learning on Large Graphs paper on the PubMed (0.03%) 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 (0.03%) dataset? | Accuracy |
What metrics were used to measure the SDSS-GCN model in the Multi-task Self-distillation for Graph-based Semi-Supervised Learning paper on the Cora: fixed 20 nodes per class 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 DMGFULL dataset? | Accuracy |
What metrics were used to measure the R-GCN model in the R-GCN: The R Could Stand for Random paper on the DMGFULL dataset? | Accuracy |
What metrics were used to measure the EGT model in the Global Self-Attention as a Replacement for Graph Convolution paper on the PATTERN 100k dataset? | Accuracy (%) |
What metrics were used to measure the DGN model in the Directional Graph Networks paper on the PATTERN 100k dataset? | Accuracy (%) |
What metrics were used to measure the FactorGCN model in the Factorizable Graph Convolutional Networks paper on the PATTERN 100k dataset? | Accuracy (%) |
What metrics were used to measure the PNA model in the Principal Neighbourhood Aggregation for Graph Nets paper on the PATTERN 100k dataset? | Accuracy (%) |
What metrics were used to measure the GIN model in the How Powerful are Graph Neural Networks? paper on the PATTERN 100k dataset? | Accuracy (%) |
What metrics were used to measure the MoNet model in the Geometric deep learning on graphs and manifolds using mixture model CNNs paper on the PATTERN 100k dataset? | Accuracy (%) |
What metrics were used to measure the GatedGCN model in the Residual Gated Graph ConvNets paper on the PATTERN 100k dataset? | Accuracy (%) |
What metrics were used to measure the GAT model in the Graph Attention Networks paper on the PATTERN 100k dataset? | Accuracy (%) |
What metrics were used to measure the GraphSage model in the Inductive Representation Learning on Large Graphs paper on the PATTERN 100k dataset? | Accuracy (%) |
What metrics were used to measure the CPF-tra-APPNP model in the Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework paper on the Cora: fixed 5 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 5 node per class 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 twitch-gamers 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 twitch-gamers 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-OTC dataset? | F1-score |
What metrics were used to measure the Geom-GCN model in the Geom-GCN: Geometric Graph Convolutional Networks paper on the Citeseer (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 Citeseer (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 Citeseer (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 Citeseer (48%/32%/20% fixed splits) dataset? | 1:1 Accuracy, Accuracy |
What metrics were used to measure the GCNII model in the Simple and Deep Graph Convolutional Networks paper on the Citeseer (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 Citeseer (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 Citeseer (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 Citeseer (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 Citeseer (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 Citeseer (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 Citeseer (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 Citeseer (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 Citeseer (48%/32%/20% fixed splits) dataset? | 1:1 Accuracy, Accuracy |
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