prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the GPS model in the Recipe for a General, Powerful, Scalable Graph Transformer paper on the ogbg-molpcba dataset? | Test AP, Ext. data, Validation AP, Number of params |
What metrics were used to measure the DGN model in the Directional Graph Networks paper on the ogbg-molpcba dataset? | Test AP, Ext. data, Validation AP, Number of params |
What metrics were used to measure the RandomGIN-vn+FLAG model in the RAN-GNNs: breaking the capacity limits of graph neural networks paper on the ogbg-molpcba dataset? | Test AP, Ext. data, Validation AP, Number of params |
What metrics were used to measure the DeeperGCN+virtual node+FLAG model in the Robust Optimization as Data Augmentation for Large-scale Graphs paper on the ogbg-molpcba dataset? | Test AP, Ext. data, Validation AP, Number of params |
What metrics were used to measure the PNA model in the Principal Neighbourhood Aggregation for Graph Nets paper on the ogbg-molpcba dataset? | Test AP, Ext. data, Validation AP, Number of params |
What metrics were used to measure the GIN+virtual node+FLAG model in the Robust Optimization as Data Augmentation for Large-scale Graphs paper on the ogbg-molpcba dataset? | Test AP, Ext. data, Validation AP, Number of params |
What metrics were used to measure the Nested GIN+virtual node model in the Nested Graph Neural Networks paper on the ogbg-molpcba dataset? | Test AP, Ext. data, Validation AP, Number of params |
What metrics were used to measure the DeeperGCN+virtual node model in the DeeperGCN: All You Need to Train Deeper GCNs paper on the ogbg-molpcba dataset? | Test AP, Ext. data, Validation AP, Number of params |
What metrics were used to measure the GIN+virtual node model in the How Powerful are Graph Neural Networks? paper on the ogbg-molpcba dataset? | Test AP, Ext. data, Validation AP, Number of params |
What metrics were used to measure the GCN+virtual node+FLAG model in the Robust Optimization as Data Augmentation for Large-scale Graphs paper on the ogbg-molpcba dataset? | Test AP, Ext. data, Validation AP, Number of params |
What metrics were used to measure the GCN+virtual node model in the Semi-Supervised Classification with Graph Convolutional Networks paper on the ogbg-molpcba dataset? | Test AP, Ext. data, Validation AP, Number of params |
What metrics were used to measure the GIN+FLAG model in the Robust Optimization as Data Augmentation for Large-scale Graphs paper on the ogbg-molpcba dataset? | Test AP, Ext. data, Validation AP, Number of params |
What metrics were used to measure the ChebNet model in the Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering paper on the ogbg-molpcba dataset? | Test AP, Ext. data, Validation AP, Number of params |
What metrics were used to measure the GIN model in the How Powerful are Graph Neural Networks? paper on the ogbg-molpcba dataset? | Test AP, Ext. data, Validation AP, Number of params |
What metrics were used to measure the GCN+FLAG model in the Robust Optimization as Data Augmentation for Large-scale Graphs paper on the ogbg-molpcba dataset? | Test AP, Ext. data, Validation AP, Number of params |
What metrics were used to measure the MorganFP+Rand. Forest model in the paper on the ogbg-molpcba dataset? | Test AP, Ext. data, Validation AP, Number of params |
What metrics were used to measure the GCN model in the Semi-Supervised Classification with Graph Convolutional Networks paper on the ogbg-molpcba dataset? | Test AP, Ext. data, Validation AP, Number of params |
What metrics were used to measure the PAS+FPs model in the paper on the ogbg-molhiv dataset? | Test ROC-AUC, Ext. data, Validation ROC-AUC, Number of params |
What metrics were used to measure the HIG model in the paper on the ogbg-molhiv dataset? | Test ROC-AUC, Ext. data, Validation ROC-AUC, Number of params |
What metrics were used to measure the DeepAUC model in the Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification paper on the ogbg-molhiv dataset? | Test ROC-AUC, Ext. data, Validation ROC-AUC, Number of params |
What metrics were used to measure the FingerPrint+GMAN model in the paper on the ogbg-molhiv dataset? | Test ROC-AUC, Ext. data, Validation ROC-AUC, Number of params |
What metrics were used to measure the Neural FingerPrints model in the Molecular Representation Learning by Leveraging Chemical Information paper on the ogbg-molhiv dataset? | Test ROC-AUC, Ext. data, Validation ROC-AUC, Number of params |
What metrics were used to measure the Graphormer + FPs model in the Do Transformers Really Perform Bad for Graph Representation? paper on the ogbg-molhiv dataset? | Test ROC-AUC, Ext. data, Validation ROC-AUC, Number of params |
What metrics were used to measure the Molecular FP + Random Forest model in the paper on the ogbg-molhiv dataset? | Test ROC-AUC, Ext. data, Validation ROC-AUC, Number of params |
What metrics were used to measure the GPTrans-B model in the Graph Propagation Transformer for Graph Representation Learning paper on the ogbg-molhiv dataset? | Test ROC-AUC, Ext. data, Validation ROC-AUC, Number of params |
What metrics were used to measure the CIN model in the Weisfeiler and Lehman Go Cellular: CW Networks paper on the ogbg-molhiv dataset? | Test ROC-AUC, Ext. data, Validation ROC-AUC, Number of params |
What metrics were used to measure the GSAT model in the Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism paper on the ogbg-molhiv dataset? | Test ROC-AUC, Ext. data, Validation ROC-AUC, Number of params |
What metrics were used to measure the MorganFP+Rand. Forest model in the paper on the ogbg-molhiv dataset? | Test ROC-AUC, Ext. data, Validation ROC-AUC, Number of params |
What metrics were used to measure the EGT model in the Global Self-Attention as a Replacement for Graph Convolution paper on the ogbg-molhiv dataset? | Test ROC-AUC, Ext. data, Validation ROC-AUC, Number of params |
What metrics were used to measure the CIN-small model in the Weisfeiler and Lehman Go Cellular: CW Networks paper on the ogbg-molhiv dataset? | Test ROC-AUC, Ext. data, Validation ROC-AUC, Number of params |
What metrics were used to measure the Graphormer model in the Do Transformers Really Perform Bad for Graph Representation? paper on the ogbg-molhiv dataset? | Test ROC-AUC, Ext. data, Validation ROC-AUC, Number of params |
What metrics were used to measure the Graphormer (pre-trained on PCQM4M) model in the Do Transformers Really Perform Bad for Graph Representation? paper on the ogbg-molhiv dataset? | Test ROC-AUC, Ext. data, Validation ROC-AUC, Number of params |
What metrics were used to measure the directional GSN model in the Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting paper on the ogbg-molhiv dataset? | Test ROC-AUC, Ext. data, Validation ROC-AUC, Number of params |
What metrics were used to measure the P-WL model in the A Persistent Weisfeiler–Lehman Procedure for Graph Classification paper on the ogbg-molhiv dataset? | Test ROC-AUC, Ext. data, Validation ROC-AUC, Number of params |
What metrics were used to measure the Nested GIN+virtual node (ens) model in the Nested Graph Neural Networks paper on the ogbg-molhiv dataset? | Test ROC-AUC, Ext. data, Validation ROC-AUC, Number of params |
What metrics were used to measure the DGN model in the Directional Graph Networks paper on the ogbg-molhiv dataset? | Test ROC-AUC, Ext. data, Validation ROC-AUC, Number of params |
What metrics were used to measure the PIN model in the Generalizing Topological Graph Neural Networks with Paths paper on the ogbg-molhiv dataset? | Test ROC-AUC, Ext. data, 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 ogbg-molhiv dataset? | Test ROC-AUC, Ext. data, Validation ROC-AUC, Number of params |
What metrics were used to measure the PHC-GNN model in the Parameterized Hypercomplex Graph Neural Networks for Graph Classification paper on the ogbg-molhiv dataset? | Test ROC-AUC, Ext. data, Validation ROC-AUC, Number of params |
What metrics were used to measure the PNA model in the Principal Neighbourhood Aggregation for Graph Nets paper on the ogbg-molhiv dataset? | Test ROC-AUC, Ext. data, Validation ROC-AUC, Number of params |
What metrics were used to measure the GCN+GraphNorm model in the GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training paper on the ogbg-molhiv dataset? | Test ROC-AUC, Ext. data, Validation ROC-AUC, Number of params |
What metrics were used to measure the GPS model in the Recipe for a General, Powerful, Scalable Graph Transformer paper on the ogbg-molhiv dataset? | Test ROC-AUC, Ext. data, Validation ROC-AUC, Number of params |
What metrics were used to measure the HIMP model in the Hierarchical Inter-Message Passing for Learning on Molecular Graphs paper on the ogbg-molhiv dataset? | Test ROC-AUC, Ext. data, 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 ogbg-molhiv dataset? | Test ROC-AUC, Ext. data, Validation ROC-AUC, Number of params |
What metrics were used to measure the Nested GIN+virtual node model in the Nested Graph Neural Networks paper on the ogbg-molhiv dataset? | Test ROC-AUC, Ext. data, Validation ROC-AUC, Number of params |
What metrics were used to measure the EGC-M (No Edge Features) model in the Do We Need Anisotropic Graph Neural Networks? paper on the ogbg-molhiv dataset? | Test ROC-AUC, Ext. data, Validation ROC-AUC, Number of params |
What metrics were used to measure the GSN model in the Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting paper on the ogbg-molhiv dataset? | Test ROC-AUC, Ext. data, Validation ROC-AUC, Number of params |
What metrics were used to measure the WEGL model in the Wasserstein Embedding for Graph Learning paper on the ogbg-molhiv dataset? | Test ROC-AUC, Ext. data, Validation ROC-AUC, Number of params |
What metrics were used to measure the GIN+virtual node+FLAG model in the Robust Optimization as Data Augmentation for Large-scale Graphs paper on the ogbg-molhiv dataset? | Test ROC-AUC, Ext. data, Validation ROC-AUC, Number of params |
What metrics were used to measure the EGC-S (No Edge Features) model in the Do We Need Anisotropic Graph Neural Networks? paper on the ogbg-molhiv dataset? | Test ROC-AUC, Ext. data, Validation ROC-AUC, Number of params |
What metrics were used to measure the GIN+virtual node model in the How Powerful are Graph Neural Networks? paper on the ogbg-molhiv dataset? | Test ROC-AUC, Ext. data, Validation ROC-AUC, Number of params |
What metrics were used to measure the GCN+FLAG model in the Robust Optimization as Data Augmentation for Large-scale Graphs paper on the ogbg-molhiv dataset? | Test ROC-AUC, Ext. data, Validation ROC-AUC, Number of params |
What metrics were used to measure the GIN+FLAG model in the Robust Optimization as Data Augmentation for Large-scale Graphs paper on the ogbg-molhiv dataset? | Test ROC-AUC, Ext. data, 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 ogbg-molhiv dataset? | Test ROC-AUC, Ext. data, Validation ROC-AUC, Number of params |
What metrics were used to measure the GCN+virtual node model in the Semi-Supervised Classification with Graph Convolutional Networks paper on the ogbg-molhiv dataset? | Test ROC-AUC, Ext. data, Validation ROC-AUC, Number of params |
What metrics were used to measure the GIN model in the How Powerful are Graph Neural Networks? paper on the ogbg-molhiv dataset? | Test ROC-AUC, Ext. data, Validation ROC-AUC, Number of params |
What metrics were used to measure the GCN (in Julia) model in the Semi-Supervised Classification with Graph Convolutional Networks paper on the ogbg-molhiv dataset? | Test ROC-AUC, Ext. data, Validation ROC-AUC, Number of params |
What metrics were used to measure the SAT++ with Magnetic Laplacian model in the Transformers Meet Directed Graphs paper on the ogbg-code2 dataset? | Test F1 score, Ext. data, Validation F1 score, Number of params |
What metrics were used to measure the SAT++ with Magnetic Laplacian model in the paper on the ogbg-code2 dataset? | Test F1 score, Ext. data, Validation F1 score, Number of params |
What metrics were used to measure the DAGformer model in the Transformers over Directed Acyclic Graphs paper on the ogbg-code2 dataset? | Test F1 score, Ext. data, Validation F1 score, Number of params |
What metrics were used to measure the SAT model in the Structure-Aware Transformer for Graph Representation Learning paper on the ogbg-code2 dataset? | Test F1 score, Ext. data, Validation F1 score, Number of params |
What metrics were used to measure the GPS model in the Recipe for a General, Powerful, Scalable Graph Transformer paper on the ogbg-code2 dataset? | Test F1 score, Ext. data, Validation F1 score, Number of params |
What metrics were used to measure the GraphTrans (GCN-Virtual) model in the paper on the ogbg-code2 dataset? | Test F1 score, Ext. data, Validation F1 score, Number of params |
What metrics were used to measure the GMAN+bag of tricks model in the paper on the ogbg-code2 dataset? | Test F1 score, Ext. data, Validation F1 score, Number of params |
What metrics were used to measure the DAGNN model in the paper on the ogbg-code2 dataset? | Test F1 score, Ext. data, Validation F1 score, Number of params |
What metrics were used to measure the DAGNN model in the Directed Acyclic Graph Neural Networks paper on the ogbg-code2 dataset? | Test F1 score, Ext. data, Validation F1 score, Number of params |
What metrics were used to measure the GraphTrans (GCN) model in the paper on the ogbg-code2 dataset? | Test F1 score, Ext. data, Validation F1 score, Number of params |
What metrics were used to measure the EGC-M (No Edge Features) model in the Do We Need Anisotropic Graph Neural Networks? paper on the ogbg-code2 dataset? | Test F1 score, Ext. data, Validation F1 score, Number of params |
What metrics were used to measure the GCN+virtual node model in the Semi-Supervised Classification with Graph Convolutional Networks paper on the ogbg-code2 dataset? | Test F1 score, Ext. data, Validation F1 score, Number of params |
What metrics were used to measure the GIN+virtual node model in the How Powerful are Graph Neural Networks? paper on the ogbg-code2 dataset? | Test F1 score, Ext. data, Validation F1 score, Number of params |
What metrics were used to measure the PNA (No Edge Features) model in the Do We Need Anisotropic Graph Neural Networks? paper on the ogbg-code2 dataset? | Test F1 score, Ext. data, Validation F1 score, Number of params |
What metrics were used to measure the GAT model in the Graph Attention Networks paper on the ogbg-code2 dataset? | Test F1 score, Ext. data, Validation F1 score, Number of params |
What metrics were used to measure the MPNN-Max (No Edge Features) model in the Do We Need Anisotropic Graph Neural Networks? paper on the ogbg-code2 dataset? | Test F1 score, Ext. data, Validation F1 score, Number of params |
What metrics were used to measure the EGC-S (No Edge Features) model in the Do We Need Anisotropic Graph Neural Networks? paper on the ogbg-code2 dataset? | Test F1 score, Ext. data, Validation F1 score, Number of params |
What metrics were used to measure the GCN model in the Semi-Supervised Classification with Graph Convolutional Networks paper on the ogbg-code2 dataset? | Test F1 score, Ext. data, Validation F1 score, Number of params |
What metrics were used to measure the GIN model in the How Powerful are Graph Neural Networks? paper on the ogbg-code2 dataset? | Test F1 score, Ext. data, Validation F1 score, Number of params |
What metrics were used to measure the PEGASUS model in the The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics paper on the XSum dataset? | METEOR |
What metrics were used to measure the PEGASUS model in the The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics paper on the GEM-XSum dataset? | ROUGE-2, BLEU score, Parameters |
What metrics were used to measure the PaLM (finetuning)-540B model in the PaLM: Scaling Language Modeling with Pathways paper on the GEM-XSum dataset? | ROUGE-2, BLEU score, Parameters |
What metrics were used to measure the T5-XXL model in the PaLM: Scaling Language Modeling with Pathways paper on the GEM-XSum dataset? | ROUGE-2, BLEU score, Parameters |
What metrics were used to measure the PaLM (finetuning)-62B model in the PaLM: Scaling Language Modeling with Pathways paper on the GEM-XSum dataset? | ROUGE-2, BLEU score, Parameters |
What metrics were used to measure the ByT5 model in the ByT5: Towards a token-free future with pre-trained byte-to-byte models paper on the GEM-XSum dataset? | ROUGE-2, BLEU score, Parameters |
What metrics were used to measure the mT5 model in the ByT5: Towards a token-free future with pre-trained byte-to-byte models paper on the GEM-XSum dataset? | ROUGE-2, BLEU score, Parameters |
What metrics were used to measure the ORACLE-EXT model in the TLDR9+: A Large Scale Resource for Extreme Summarization of Social Media Posts paper on the TLDR9+ dataset? | RG-1(%), RG-2(%), RG-L(%) |
What metrics were used to measure the BART model in the TLDR9+: A Large Scale Resource for Extreme Summarization of Social Media Posts paper on the TLDR9+ dataset? | RG-1(%), RG-2(%), RG-L(%) |
What metrics were used to measure the BERTSUMABS model in the TLDR9+: A Large Scale Resource for Extreme Summarization of Social Media Posts paper on the TLDR9+ dataset? | RG-1(%), RG-2(%), RG-L(%) |
What metrics were used to measure the BERTSUMEXT model in the TLDR9+: A Large Scale Resource for Extreme Summarization of Social Media Posts paper on the TLDR9+ dataset? | RG-1(%), RG-2(%), RG-L(%) |
What metrics were used to measure the EXT-ORACLE model in the CiteSum: Citation Text-guided Scientific Extreme Summarization and Domain Adaptation with Limited Supervision paper on the CiteSum dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the BART-large (s=abs+title, t=TLDR) model in the CiteSum: Citation Text-guided Scientific Extreme Summarization and Domain Adaptation with Limited Supervision paper on the CiteSum dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the BART-large (s=abs+disci, t=TLDR) model in the CiteSum: Citation Text-guided Scientific Extreme Summarization and Domain Adaptation with Limited Supervision paper on the CiteSum dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the BART-large (s=abs, t= TLDR/Title/Disci) model in the CiteSum: Citation Text-guided Scientific Extreme Summarization and Domain Adaptation with Limited Supervision paper on the CiteSum dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the BART-large (s=abs, t=TLDR) model in the CiteSum: Citation Text-guided Scientific Extreme Summarization and Domain Adaptation with Limited Supervision paper on the CiteSum dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the BART-large (s=abs, t=TLDR/title) model in the CiteSum: Citation Text-guided Scientific Extreme Summarization and Domain Adaptation with Limited Supervision paper on the CiteSum dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the PEGASUS (s=abs, t=TLDR) model in the CiteSum: Citation Text-guided Scientific Extreme Summarization and Domain Adaptation with Limited Supervision paper on the CiteSum dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the EXT-HEURISTIC model in the CiteSum: Citation Text-guided Scientific Extreme Summarization and Domain Adaptation with Limited Supervision paper on the CiteSum dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the EXT-LEAD model in the CiteSum: Citation Text-guided Scientific Extreme Summarization and Domain Adaptation with Limited Supervision paper on the CiteSum dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the SK model in the PEg TRAnsfer Workflow recognition challenge report: Does multi-modal data improve recognition? paper on the PETRAW dataset? | Average AD-Accuracy |
What metrics were used to measure the Hutom model in the PEg TRAnsfer Workflow recognition challenge report: Does multi-modal data improve recognition? paper on the PETRAW dataset? | Average AD-Accuracy |
What metrics were used to measure the MediCIS model in the PEg TRAnsfer Workflow recognition challenge report: Does multi-modal data improve recognition? paper on the PETRAW dataset? | Average AD-Accuracy |
What metrics were used to measure the NCC Next model in the PEg TRAnsfer Workflow recognition challenge report: Does multi-modal data improve recognition? paper on the PETRAW dataset? | Average AD-Accuracy |
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