prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the GAT+BOT+NGNN model in the Network In Graph Neural Network paper on the ogbn-proteins dataset? | Ext. data, Test ROC-AUC, Validation ROC-AUC, Number of params |
What metrics were used to measure the RevGNN-Deep model in the Training Graph Neural Networks with 1000 Layers paper on the ogbn-proteins dataset? | Ext. data, Test ROC-AUC, Validation ROC-AUC, Number of params |
What metrics were used to measure the GAT+BoT model in the Bag of Tricks for Node Classification with Graph Neural Networks paper on the ogbn-proteins dataset? | Ext. data, Test ROC-AUC, Validation ROC-AUC, Number of params |
What metrics were used to measure the GAT + labels + node2vec model in the Graph Attention Networks paper on the ogbn-proteins dataset? | Ext. data, Test ROC-AUC, Validation ROC-AUC, Number of params |
What metrics were used to measure the GIPA model in the GIPA: General Information Propagation Algorithm for Graph Learning paper on the ogbn-proteins dataset? | Ext. data, Test ROC-AUC, Validation ROC-AUC, Number of params |
What metrics were used to measure the UniMP+CrossEdgeFeat model in the Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification paper on the ogbn-proteins dataset? | Ext. data, Test ROC-AUC, Validation ROC-AUC, Number of params |
What metrics were used to measure the GAT+EdgeFeatureAtt model in the Bag of Tricks for Node Classification with Graph Neural Networks paper on the ogbn-proteins dataset? | Ext. data, Test ROC-AUC, Validation ROC-AUC, Number of params |
What metrics were used to measure the UniMP model in the Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification paper on the ogbn-proteins dataset? | Ext. data, Test ROC-AUC, Validation ROC-AUC, Number of params |
What metrics were used to measure the DeeperGCN+FLAG model in the Robust Optimization as Data Augmentation for Large-scale Graphs paper on the ogbn-proteins dataset? | Ext. data, Test ROC-AUC, Validation ROC-AUC, Number of params |
What metrics were used to measure the DeeperGCN model in the DeeperGCN: All You Need to Train Deeper GCNs paper on the ogbn-proteins dataset? | Ext. data, Test ROC-AUC, Validation ROC-AUC, Number of params |
What metrics were used to measure the DeepGCN model in the paper on the ogbn-proteins dataset? | Ext. data, Test ROC-AUC, Validation ROC-AUC, Number of params |
What metrics were used to measure the MWE-DGCN model in the paper on the ogbn-proteins dataset? | Ext. data, Test ROC-AUC, Validation ROC-AUC, Number of params |
What metrics were used to measure the GEN + FLAG + node2vec model in the DeeperGCN: All You Need to Train Deeper GCNs paper on the ogbn-proteins dataset? | Ext. data, Test ROC-AUC, Validation ROC-AUC, Number of params |
What metrics were used to measure the GeniePath-BS model in the Bandit Samplers for Training Graph Neural Networks paper on the ogbn-proteins dataset? | Ext. data, Test ROC-AUC, Validation ROC-AUC, Number of params |
What metrics were used to measure the GaAN model in the GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs paper on the ogbn-proteins dataset? | Ext. data, Test ROC-AUC, Validation ROC-AUC, Number of params |
What metrics were used to measure the GraphSAGE model in the Inductive Representation Learning on Large Graphs paper on the ogbn-proteins dataset? | Ext. data, Test ROC-AUC, Validation ROC-AUC, Number of params |
What metrics were used to measure the GCN model in the Semi-Supervised Classification with Graph Convolutional Networks paper on the ogbn-proteins dataset? | Ext. data, Test ROC-AUC, Validation ROC-AUC, Number of params |
What metrics were used to measure the MLP model in the Open Graph Benchmark: Datasets for Machine Learning on Graphs paper on the ogbn-proteins dataset? | Ext. data, Test ROC-AUC, Validation ROC-AUC, Number of params |
What metrics were used to measure the Node2vec model in the node2vec: Scalable Feature Learning for Networks paper on the ogbn-proteins dataset? | Ext. data, Test ROC-AUC, Validation ROC-AUC, Number of params |
What metrics were used to measure the GLEM+EnGCN model in the Learning on Large-scale Text-attributed Graphs via Variational Inference paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the EnGCN model in the A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GLEM+GIANT+SAGN+SCR model in the Learning on Large-scale Text-attributed Graphs via Variational Inference paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the LD+GIANT+SAGN+SCR model in the Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the **GraDBERT+GIANT & SAGN+SLE+CnS ** model in the paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GIANT-XRT+R-SAGN+SCR+C&S model in the paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GIANT-XRT+SAGN+SCR+C&S model in the SCR: Training Graph Neural Networks with Consistency Regularization paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GIANT-XRT+SAGN+MCR+C&S model in the SCR: Training Graph Neural Networks with Consistency Regularization paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GIANT-XRT+SAGN+SCR model in the SCR: Training Graph Neural Networks with Consistency Regularization paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GIANT-XRT+SAGN+MCR model in the SCR: Training Graph Neural Networks with Consistency Regularization paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the LD+GAMLP model in the Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GIANT-XRT+SAGN+SLE+C&S (use raw text) model in the Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GIANT-XRT+SAGN+SLE (use raw text) model in the Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GIANT-XRT+GAMLP+MCR model in the SCR: Training Graph Neural Networks with Consistency Regularization paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GAMLP+RLU+SCR+C&S model in the SCR: Training Graph Neural Networks with Consistency Regularization paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GAMLP+RLU+SCR model in the SCR: Training Graph Neural Networks with Consistency Regularization paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the SAGN+SLE (4 stages)+C&S model in the Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced training paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the SAGN+SLE (4 stages) model in the Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced training paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GAMLP+MCR model in the SCR: Training Graph Neural Networks with Consistency Regularization paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GAMLP+RLU model in the paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the Spec-MLP-Wide + C&S model in the Combining Label Propagation and Simple Models Out-performs Graph Neural Networks paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the SAGN+MCR model in the SCR: Training Graph Neural Networks with Consistency Regularization paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the SAGN+SLE model in the Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced training paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the MLP + C&S model in the Combining Label Propagation and Simple Models Out-performs Graph Neural Networks paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GIANT-XRT+GraphSAINT(use raw text) model in the Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GAMLP model in the paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the AGDN model in the Adaptive Graph Diffusion Networks paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the RevGNN-112 model in the Training Graph Neural Networks with 1000 Layers paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the Linear + C&S model in the Combining Label Propagation and Simple Models Out-performs Graph Neural Networks paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the UniMP model in the Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the Plain Linear + C&S model in the Combining Label Propagation and Simple Models Out-performs Graph Neural Networks paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the DeeperGCN+FLAG model in the Robust Optimization as Data Augmentation for Large-scale Graphs paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GAT+FLAG model in the Robust Optimization as Data Augmentation for Large-scale Graphs paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GraphSAGE + C&S + node2vec model in the Inductive Representation Learning on Large Graphs paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the SAGN model in the Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced training paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the PCAPass + XGBoost model in the Dimensionality Reduction Meets Message Passing for Graph Node Embeddings paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the DeeperGCN model in the DeeperGCN: All You Need to Train Deeper GCNs paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the E2EG (use raw text) model in the E2EG: End-to-End Node Classification Using Graph Topology and Text-based Node Attributes paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GAT w/NS + C&S model in the Combining Label Propagation and Simple Models Out-performs Graph Neural Networks paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the SIGN model in the SIGN: Scalable Inception Graph Neural Networks paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GIANT-XRT+MLP (use raw text) model in the Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GraphSAGE w/NS + C&S model in the Combining Label Propagation and Simple Models Out-performs Graph Neural Networks paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GraphSAINT-inductive model in the GraphSAINT: Graph Sampling Based Inductive Learning Method paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the ClusterGCN+residual+3 layers model in the Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GAT with NeighborSampling model in the Graph Attention Networks paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GraphSAGE+FLAG model in the Robust Optimization as Data Augmentation for Large-scale Graphs paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the Cluster-GAT model in the Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GraphSAINT (SAGE aggr) model in the GraphSAINT: Graph Sampling Based Inductive Learning Method paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the ClusterGCN (SAGE aggr) model in the Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the NeighborSampling (SAGE aggr) model in the Inductive Representation Learning on Large Graphs paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the Full-batch GraphSAGE model in the Inductive Representation Learning on Large Graphs paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GraphSAGE model in the Inductive Representation Learning on Large Graphs paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the Full-batch GCN model in the Semi-Supervised Classification with Graph Convolutional Networks paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the Label Propagation model in the paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GraphZoom (Node2vec) model in the paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the Node2vec model in the node2vec: Scalable Feature Learning for Networks paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
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 ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
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 ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the MLP+FLAG model in the Robust Optimization as Data Augmentation for Large-scale Graphs paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the MLP model in the Open Graph Benchmark: Datasets for Machine Learning on Graphs paper on the ogbn-products dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the SimTeG+TAPE+RevGAT model in the SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the TAPE+RevGAT model in the Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the SimTeG+TAPE+GraphSAGE model in the SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the LD+REVGAT model in the Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GraDBERT & RevGAT+KD model in the paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GLEM+RevGAT model in the Learning on Large-scale Text-attributed Graphs via Variational Inference paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GIANT-XRT+AGDN+BoT+self-KD model in the Adaptive Graph Diffusion Networks paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GIANT-XRT+RevGAT+KD+DCN model in the ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GIANT-XRT+R-RevGAT+KD model in the paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GIANT-XRT+DRGAT+KD model in the paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GIANT-XRT+AGDN+BoT model in the Adaptive Graph Diffusion Networks paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GIANT-XRT+RevGAT+KD (use raw text) model in the Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GIANT-XRT+DRGAT model in the paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GIANT-XRT+RevGAT (use raw text) model in the paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the LGGNN+LabelReuse+C&S model in the paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GIANT-XRT+LGGNN+LabelReuse+C&S model in the paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the SciBERT & EHGCN (use MAG data) model in the paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the GIANT-XRT+GraphSAGE (use raw text) model in the Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the AGDN+BoT+self-KD+C&S model in the Adaptive Graph Diffusion Networks paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the AGDN+BoT+self-KD model in the Adaptive Graph Diffusion Networks paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
What metrics were used to measure the RevGAT+N.Adj+LabelReuse+SelfKD model in the Training Graph Neural Networks with 1000 Layers paper on the ogbn-arxiv dataset? | Test Accuracy, Ext. data, Validation Accuracy, Number of params |
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