prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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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 dataset? | Accuracy, Training Split, F1, Validation |
What metrics were used to measure the ACMII-Snowball-2 model in the Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification? paper on the Pubmed dataset? | Accuracy, Training Split, F1, Validation |
What metrics were used to measure the NodeNet model in the NodeNet: A Graph Regularised Neural Network for Node Classification paper on the Pubmed dataset? | Accuracy, Training Split, F1, Validation |
What metrics were used to measure the CNMPGNN model in the CN-Motifs Perceptive Graph Neural Networks paper on the Pubmed dataset? | Accuracy, Training Split, F1, 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 Pubmed dataset? | Accuracy, Training Split, F1, 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 Pubmed dataset? | Accuracy, Training Split, F1, Validation |
What metrics were used to measure the SSP model in the Optimization of Graph Neural Networks with Natural Gradient Descent paper on the Pubmed dataset? | Accuracy, Training Split, F1, 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 Pubmed dataset? | Accuracy, Training Split, F1, 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 Pubmed dataset? | Accuracy, Training Split, F1, 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 Pubmed dataset? | Accuracy, Training Split, F1, 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 Pubmed dataset? | Accuracy, Training Split, F1, Validation |
What metrics were used to measure the GCN + Mixup model in the Mixup for Node and Graph Classification paper on the Pubmed dataset? | Accuracy, Training Split, F1, Validation |
What metrics were used to measure the GCN-LPA model in the Unifying Graph Convolutional Neural Networks and Label Propagation paper on the Pubmed dataset? | Accuracy, Training Split, F1, Validation |
What metrics were used to measure the GRACE model in the Deep Graph Contrastive Representation Learning paper on the Pubmed dataset? | Accuracy, Training Split, F1, 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 Pubmed dataset? | Accuracy, Training Split, F1, 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 Pubmed dataset? | Accuracy, Training Split, F1, Validation |
What metrics were used to measure the MMA model in the Multi-Mask Aggregators for Graph Neural Networks paper on the Pubmed dataset? | Accuracy, Training Split, F1, 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 Pubmed dataset? | Accuracy, Training Split, F1, 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 Pubmed dataset? | Accuracy, Training Split, F1, Validation |
What metrics were used to measure the PA-GNN model in the Transferring Robustness for Graph Neural Network Against Poisoning Attacks paper on the Pubmed dataset? | Accuracy, Training Split, F1, 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 Pubmed dataset? | Accuracy, Training Split, F1, Validation |
What metrics were used to measure the TGCL+ResNet model in the Deeper-GXX: Deepening Arbitrary GNNs paper on the Pubmed dataset? | Accuracy, Training Split, F1, Validation |
What metrics were used to measure the DSGCN model in the paper on the Pubmed dataset? | Accuracy, Training Split, F1, 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 Pubmed dataset? | Accuracy, Training Split, F1, 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 Pubmed dataset? | Accuracy, Training Split, F1, 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 Pubmed dataset? | Accuracy, Training Split, F1, Validation |
What metrics were used to measure the MTGAE model in the Multi-Task Graph Autoencoders paper on the Pubmed dataset? | Accuracy, Training Split, F1, Validation |
What metrics were used to measure the HGCN model in the Hyperbolic Graph Convolutional Neural Networks paper on the Pubmed dataset? | Accuracy, Training Split, F1, Validation |
What metrics were used to measure the Cleora model in the Cleora: A Simple, Strong and Scalable Graph Embedding Scheme paper on the Pubmed dataset? | Accuracy, Training Split, F1, 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 Pubmed dataset? | Accuracy, Training Split, F1, Validation |
What metrics were used to measure the JK (Heat Diffusion) model in the Diffusion Improves Graph Learning paper on the Pubmed dataset? | Accuracy, Training Split, F1, Validation |
What metrics were used to measure the AdaGCN model in the AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models paper on the Pubmed dataset? | Accuracy, Training Split, F1, Validation |
What metrics were used to measure the APPNP model in the Predict then Propagate: Graph Neural Networks meet Personalized PageRank paper on the Pubmed dataset? | Accuracy, Training Split, F1, Validation |
What metrics were used to measure the GOCN model in the Robust Graph Data Learning via Latent Graph Convolutional Representation paper on the Pubmed dataset? | Accuracy, Training Split, F1, 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 Pubmed dataset? | Accuracy, Training Split, F1, Validation |
What metrics were used to measure the GraphNAS model in the GraphNAS: Graph Neural Architecture Search with Reinforcement Learning paper on the Pubmed dataset? | Accuracy, Training Split, F1, Validation |
What metrics were used to measure the Graph U-Nets model in the Graph U-Nets paper on the Pubmed dataset? | Accuracy, Training Split, F1, Validation |
What metrics were used to measure the LGCN sub model in the Large-Scale Learnable Graph Convolutional Networks paper on the Pubmed dataset? | Accuracy, Training Split, F1, 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 Pubmed dataset? | Accuracy, Training Split, F1, 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 Pubmed dataset? | Accuracy, Training Split, F1, Validation |
What metrics were used to measure the alpha-LoNGAE model in the Learning to Make Predictions on Graphs with Autoencoders paper on the Pubmed dataset? | Accuracy, Training Split, F1, Validation |
What metrics were used to measure the APPNP model in the Fast Graph Representation Learning with PyTorch Geometric paper on the Pubmed dataset? | Accuracy, Training Split, F1, Validation |
What metrics were used to measure the Graphite model in the Graphite: Iterative Generative Modeling of Graphs paper on the Pubmed dataset? | Accuracy, Training Split, F1, 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 Pubmed dataset? | Accuracy, Training Split, F1, 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 Pubmed dataset? | Accuracy, Training Split, F1, Validation |
What metrics were used to measure the GWNN model in the Graph Wavelet Neural Network paper on the Pubmed dataset? | Accuracy, Training Split, F1, Validation |
What metrics were used to measure the SDRF model in the Understanding over-squashing and bottlenecks on graphs via curvature paper on the Pubmed dataset? | Accuracy, Training Split, F1, Validation |
What metrics were used to measure the GCN model in the Semi-Supervised Classification with Graph Convolutional Networks paper on the Pubmed dataset? | Accuracy, Training Split, F1, Validation |
What metrics were used to measure the GAT model in the Graph Attention Networks paper on the Pubmed dataset? | Accuracy, Training Split, F1, Validation |
What metrics were used to measure the Caps2NE model in the A Capsule Network-based Model for Learning Node Embeddings paper on the Pubmed dataset? | Accuracy, Training Split, F1, 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 Pubmed dataset? | Accuracy, Training Split, F1, Validation |
What metrics were used to measure the TREE-G model in the TREE-G: Decision Trees Contesting Graph Neural Networks paper on the Pubmed dataset? | Accuracy, Training Split, F1, 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 Pubmed dataset? | Accuracy, Training Split, F1, Validation |
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 Pubmed dataset? | Accuracy, Training Split, F1, Validation |
What metrics were used to measure the GraphStar model in the Graph Star Net for Generalized Multi-Task Learning paper on the Pubmed dataset? | Accuracy, Training Split, F1, Validation |
What metrics were used to measure the Planetoid* model in the Revisiting Semi-Supervised Learning with Graph Embeddings paper on the Pubmed dataset? | Accuracy, Training Split, F1, Validation |
What metrics were used to measure the DGI model in the Deep Graph Infomax paper on the Pubmed dataset? | Accuracy, Training Split, F1, 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 Pubmed dataset? | Accuracy, Training Split, F1, 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 Pubmed dataset? | Accuracy, Training Split, F1, Validation |
What metrics were used to measure the CT-Layer model in the DiffWire: Inductive Graph Rewiring via the Lovász Bound paper on the Pubmed dataset? | Accuracy, Training Split, F1, Validation |
What metrics were used to measure the DANMF model in the Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection paper on the Pubmed dataset? | Accuracy, Training Split, F1, Validation |
What metrics were used to measure the PairE model in the Graph Representation Learning Beyond Node and Homophily paper on the Pubmed dataset? | Accuracy, Training Split, F1, Validation |
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 Pubmed dataset? | Accuracy, Training Split, F1, 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 Coauthor Physics 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 Coauthor Physics 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 Coauthor Physics dataset? | Accuracy |
What metrics were used to measure the Exphormer model in the Exphormer: Sparse Transformers for Graphs paper on the Coauthor Physics 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 Coauthor Physics 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 Coauthor Physics 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 Coauthor Physics dataset? | Accuracy |
What metrics were used to measure the DAGNN (Ours) model in the Towards Deeper Graph Neural Networks paper on the Coauthor Physics 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 BlogCatalog dataset? | Accuracy |
What metrics were used to measure the GCN+GAugM model in the Data Augmentation for Graph Neural Networks paper on the BlogCatalog 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 AMPLUS 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 AMPLUS dataset? | Accuracy |
What metrics were used to measure the GRACE model in the Deep Graph Contrastive Representation Learning paper on the DBLP dataset? | Accuracy, Micro F1, Macro F1 |
What metrics were used to measure the RR-GCN-PPV model in the R-GCN: The R Could Stand for Random paper on the DBLP dataset? | Accuracy, Micro F1, Macro F1 |
What metrics were used to measure the R-GCN model in the R-GCN: The R Could Stand for Random paper on the DBLP dataset? | Accuracy, Micro F1, Macro F1 |
What metrics were used to measure the DAOR model in the Bridging the Gap between Community and Node Representations: Graph Embedding via Community Detection paper on the DBLP dataset? | Accuracy, Micro F1, Macro F1 |
What metrics were used to measure the PairE model in the Graph Representation Learning Beyond Node and Homophily paper on the DBLP dataset? | Accuracy, Micro F1, Macro F1 |
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 AMZ Computers: fixed 20 node per class dataset? | Accuracy |
What metrics were used to measure the GRIT model in the Graph Inductive Biases in Transformers without Message Passing paper on the PATTERN 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 dataset? | Accuracy |
What metrics were used to measure the GPTrans-Nano model in the Graph Propagation Transformer for Graph Representation Learning paper on the PATTERN dataset? | Accuracy |
What metrics were used to measure the Exphormer model in the Exphormer: Sparse Transformers for Graphs paper on the PATTERN dataset? | Accuracy |
What metrics were used to measure the GPS model in the Recipe for a General, Powerful, Scalable Graph Transformer paper on the PATTERN dataset? | Accuracy |
What metrics were used to measure the GatedGCN-PE model in the Benchmarking Graph Neural Networks paper on the PATTERN 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 Squirrel (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 Squirrel (48%/32%/20% fixed splits) dataset? | 1:1 Accuracy, Accuracy |
What metrics were used to measure the IncepGCN+DropEdge model in the DropEdge: Towards Deep Graph Convolutional Networks on Node Classification paper on the Citeseer Full-supervised dataset? | Accuracy |
What metrics were used to measure the ASGCN model in the Adaptive Sampling Towards Fast Graph Representation Learning paper on the Citeseer Full-supervised dataset? | Accuracy |
What metrics were used to measure the FastGCN model in the FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling paper on the Citeseer Full-supervised dataset? | Accuracy |
What metrics were used to measure the GCNII* model in the Simple and Deep Graph Convolutional Networks paper on the Citeseer Full-supervised 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 Citeseer Full-supervised dataset? | Accuracy |
What metrics were used to measure the Graph ESN model in the Beyond Homophily with Graph Echo State Networks paper on the Citeseer Full-supervised dataset? | Accuracy |
What metrics were used to measure the GraphSAGE model in the Inductive Representation Learning on Large Graphs paper on the Citeseer Full-supervised 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 Citeseer random partition dataset? | Accuracy |
What metrics were used to measure the Exphormer model in the Exphormer: Sparse Transformers for Graphs paper on the PascalVOC-SP dataset? | macro F1 |
What metrics were used to measure the GPS model in the Recipe for a General, Powerful, Scalable Graph Transformer paper on the PascalVOC-SP dataset? | macro F1 |
What metrics were used to measure the DRew-GatedGCN+LapPE model in the DRew: Dynamically Rewired Message Passing with Delay paper on the PascalVOC-SP dataset? | macro F1 |
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