prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the FAGCN model in the Beyond Low-frequency Information in Graph Convolutional Networks paper on the Citeseer (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 Citeseer (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 Citeseer (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 Citeseer (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 Citeseer (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 Citeseer (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 Citeseer (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 Citeseer (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 Citeseer (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 Citeseer (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 Citeseer (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 Citeseer (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 Citeseer (48%/32%/20% fixed splits) dataset? | 1:1 Accuracy, Accuracy |
What metrics were used to measure the CPF-ind_APPNP model in the Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework paper on the Cora (0.5%) 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 Cora (0.5%) 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 Cora (0.5%) 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 Cora (0.5%) 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 Cora (0.5%) 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 Cora (0.5%) dataset? | Accuracy |
What metrics were used to measure the MT-GCN model in the Mutual Teaching for Graph Convolutional Networks paper on the Cora (0.5%) dataset? | Accuracy |
What metrics were used to measure the AdaLanczosNet model in the LanczosNet: Multi-Scale Deep Graph Convolutional Networks paper on the Cora (0.5%) dataset? | Accuracy |
What metrics were used to measure the DCNN model in the Diffusion-Convolutional Neural Networks paper on the Cora (0.5%) dataset? | Accuracy |
What metrics were used to measure the LanczosNet model in the LanczosNet: Multi-Scale Deep Graph Convolutional Networks paper on the Cora (0.5%) 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 Cora (0.5%) dataset? | Accuracy |
What metrics were used to measure the GGNN model in the Gated Graph Sequence Neural Networks paper on the Cora (0.5%) dataset? | Accuracy |
What metrics were used to measure the GAT model in the Graph Attention Networks paper on the Cora (0.5%) dataset? | Accuracy |
What metrics were used to measure the GraphSAGE model in the Inductive Representation Learning on Large Graphs paper on the Cora (0.5%) 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 Cora (0.5%) dataset? | Accuracy |
What metrics were used to measure the LW-GCN model in the Label-Wise Graph Convolutional Network for Heterophilic Graphs paper on the Crocodile 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 Crocodile dataset? | Accuracy |
What metrics were used to measure the GREAD-BS model in the GREAD: Graph Neural Reaction-Diffusion Networks paper on the Film(48%/32%/20% fixed splits) dataset? | Accuracy |
What metrics were used to measure the GTAN model in the Semi-supervised Credit Card Fraud Detection via Attribute-driven Graph Representation paper on the Yelp-Fraud dataset? | AUC-ROC |
What metrics were used to measure the BOLT-GRAPH model in the BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Search and Recommendation Models on Commodity CPU Hardware paper on the Yelp-Fraud dataset? | AUC-ROC |
What metrics were used to measure the SplitGNN model in the SplitGNN: Spectral Graph Neural Network for Fraud Detection against Heterophily paper on the Yelp-Fraud dataset? | AUC-ROC |
What metrics were used to measure the GAT+JK model in the New Benchmarks for Learning on Non-Homophilous Graphs paper on the Yelp-Fraud dataset? | AUC-ROC |
What metrics were used to measure the RLC-GNN model in the RLC-GNN: An Improved Deep Architecture for Spatial-Based Graph Neural Network with Application to Fraud Detection paper on the Yelp-Fraud dataset? | AUC-ROC |
What metrics were used to measure the RioGNN model in the Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks paper on the Yelp-Fraud dataset? | AUC-ROC |
What metrics were used to measure the PC-GNN model in the Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection paper on the Yelp-Fraud dataset? | AUC-ROC |
What metrics were used to measure the CARE-GNN model in the Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters paper on the Yelp-Fraud dataset? | AUC-ROC |
What metrics were used to measure the DFNet-ATT model in the DFNets: Spectral CNNs for Graphs with Feedback-Looped Filters paper on the NELL dataset? | Accuracy |
What metrics were used to measure the GCN model in the Semi-Supervised Classification with Graph Convolutional Networks paper on the NELL dataset? | Accuracy |
What metrics were used to measure the GraphVAT model in the Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure paper on the NELL dataset? | Accuracy |
What metrics were used to measure the Planetoid* model in the Revisiting Semi-Supervised Learning with Graph Embeddings paper on the NELL 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 Europe Air-Traffic dataset? | Accuracy |
What metrics were used to measure the GCN_cheby (Kipf and Welling, 2017) model in the Semi-Supervised Classification with Graph Convolutional Networks paper on the Europe 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 Europe 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 Europe 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 Europe Air-Traffic dataset? | Accuracy |
What metrics were used to measure the GCN (Kipf and Welling, 2017) model in the Semi-Supervised Classification with Graph Convolutional Networks paper on the Europe 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 Europe Air-Traffic 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 Brazil 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 Brazil Air-Traffic dataset? | Accuracy |
What metrics were used to measure the GCN_cheby (Kipf and Welling, 2017) model in the Semi-Supervised Classification with Graph Convolutional Networks paper on the Brazil 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 Brazil 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 Brazil 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 Brazil 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 Brazil Air-Traffic dataset? | Accuracy |
What metrics were used to measure the GCN+GAugM (Zhao et al., 2021) model in the Data Augmentation for Graph Neural Networks paper on the Flickr 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 Flickr 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 Flickr dataset? | Accuracy |
What metrics were used to measure the EnGCN (Duan et al., 2022) model in the A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking paper on the Flickr 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 Flickr dataset? | Accuracy |
What metrics were used to measure the GCN (Kipf and Welling, 2017) model in the Semi-Supervised Classification with Graph Convolutional Networks paper on the Flickr dataset? | Accuracy |
What metrics were used to measure the GCN_cheby (Kipf and Welling, 2017) model in the Semi-Supervised Classification with Graph Convolutional Networks paper on the Flickr dataset? | Accuracy |
What metrics were used to measure the GAT (Velickovic et al., 2018) model in the Graph Attention Networks paper on the Flickr 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 Facebook dataset? | Accuracy |
What metrics were used to measure the GCN_cheby (Kipf and Welling, 2017) model in the Semi-Supervised Classification with Graph Convolutional Networks paper on the Facebook 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 Facebook dataset? | Accuracy |
What metrics were used to measure the GCN (Kipf and Welling, 2017) model in the Semi-Supervised Classification with Graph Convolutional Networks paper on the Facebook 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 Facebook dataset? | Accuracy |
What metrics were used to measure the PairE model in the Graph Representation Learning Beyond Node and Homophily paper on the Deezer Romania dataset? | Micro-F1 |
What metrics were used to measure the GEMSEC 2 model in the GEMSEC: Graph Embedding with Self Clustering paper on the Deezer Romania dataset? | Micro-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 MUTAG dataset? | Accuracy |
What metrics were used to measure the SCENE model in the SCENE: Reasoning about Traffic Scenes using Heterogeneous Graph Neural Networks paper on the MUTAG dataset? | Accuracy |
What metrics were used to measure the Path Tree model in the Inducing a Decision Tree with Discriminative Paths to Classify Entities in a Knowledge Graph paper on the MUTAG dataset? | Accuracy |
What metrics were used to measure the R-GCN model in the Modeling Relational Data with Graph Convolutional Networks paper on the MUTAG dataset? | Accuracy |
What metrics were used to measure the RDF2Vec+SVM model in the RDF2Vec: RDF Graph Embeddings and Their Applications paper on the MUTAG dataset? | Accuracy |
What metrics were used to measure the CPF-ind-GAT model in the Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework paper on the AMZ Computers dataset? | Accuracy |
What metrics were used to measure the DAGNN (Ours) model in the Towards Deeper Graph Neural Networks paper on the AMZ Computers dataset? | Accuracy |
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 AMZ Computers dataset? | Accuracy |
What metrics were used to measure the GraphSAGE+DropEdge model in the DropEdge: Towards Deep Graph Convolutional Networks on Node Classification paper on the Pubmed 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 Pubmed 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 Pubmed Full-supervised dataset? | Accuracy |
What metrics were used to measure the GCNII* model in the Simple and Deep Graph Convolutional Networks paper on the Pubmed 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 Pubmed 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 Pubmed Full-supervised dataset? | Accuracy |
What metrics were used to measure the GraphSAGE model in the Inductive Representation Learning on Large Graphs paper on the Pubmed Full-supervised dataset? | Accuracy |
What metrics were used to measure the SDSS-GAT model in the Multi-task Self-distillation for Graph-based Semi-Supervised Learning paper on the Citeseer: fixed 20 node per class dataset? | Accuracy |
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 Citeseer 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 Citeseer 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 Citeseer 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 Citeseer 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 Citeseer 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 Citeseer dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the SSP model in the Optimization of Graph Neural Networks with Natural Gradient Descent paper on the Citeseer 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 Citeseer 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 Citeseer 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 Citeseer dataset? | Accuracy, Training Split, Validation |
What metrics were used to measure the Graph-MLP + SWA model in the The Split Matters: Flat Minima Methods for Improving the Performance of GNNs paper on the Citeseer 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 Citeseer dataset? | Accuracy, Training Split, Validation |
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