prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the GIN model in the A Fair Comparison of Graph Neural Networks for Graph Classification paper on the ENZYMES dataset? | Accuracy |
What metrics were used to measure the TREE-G model in the TREE-G: Decision Trees Contesting Graph Neural Networks paper on the ENZYMES dataset? | Accuracy |
What metrics were used to measure the WWL model in the Wasserstein Weisfeiler-Lehman Graph Kernels paper on the ENZYMES dataset? | Accuracy |
What metrics were used to measure the GAT-GC (f-Scaled) model in the Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation paper on the ENZYMES dataset? | Accuracy |
What metrics were used to measure the δ-2-LWL model in the Weisfeiler and Leman go sparse: Towards scalable higher-order graph embeddings paper on the ENZYMES dataset? | Accuracy |
What metrics were used to measure the GraphSAGE model in the A Fair Comparison of Graph Neural Networks for Graph Classification paper on the ENZYMES dataset? | Accuracy |
What metrics were used to measure the DAGCN model in the DAGCN: Dual Attention Graph Convolutional Networks paper on the ENZYMES dataset? | Accuracy |
What metrics were used to measure the Evolution of Graph Classifiers model in the Evolution of Graph Classifiers paper on the ENZYMES dataset? | Accuracy |
What metrics were used to measure the CapsGNN model in the Capsule Graph Neural Network paper on the ENZYMES dataset? | Accuracy |
What metrics were used to measure the DGK model in the Deep Graph Kernels paper on the ENZYMES dataset? | Accuracy |
What metrics were used to measure the ECC (5 scores) model in the Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs paper on the ENZYMES dataset? | Accuracy |
What metrics were used to measure the SPI-GCN model in the SPI-GCN: A Simple Permutation-Invariant Graph Convolutional Network paper on the ENZYMES dataset? | Accuracy |
What metrics were used to measure the Fea2Fea-s2 model in the Fea2Fea: Exploring Structural Feature Correlations via Graph Neural Networks paper on the ENZYMES dataset? | Accuracy |
What metrics were used to measure the VRGC model in the Variational Recurrent Neural Networks for Graph Classification paper on the ENZYMES dataset? | Accuracy |
What metrics were used to measure the NDP model in the Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling paper on the ENZYMES dataset? | Accuracy |
What metrics were used to measure the SF + RFC model in the A Simple Baseline Algorithm for Graph Classification paper on the ENZYMES dataset? | Accuracy |
What metrics were used to measure the LDP model in the A simple yet effective baseline for non-attributed graph classification paper on the ENZYMES 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 ENZYMES dataset? | Accuracy |
What metrics were used to measure the BC + Capsules model in the Capsule Neural Networks for Graph Classification using Explicit Tensorial Graph Representations paper on the ENZYMES dataset? | Accuracy |
What metrics were used to measure the 1-NMFPool model in the A Non-Negative Factorization approach to node pooling in Graph Convolutional Neural Networks paper on the ENZYMES dataset? | Accuracy |
What metrics were used to measure the IsoNN model in the IsoNN: Isomorphic Neural Network for Graph Representation Learning and Classification paper on the HIV-DTI-77 dataset? | Accuracy, F1 |
What metrics were used to measure the SDBN model in the Structural Deep Network Embedding paper on the HIV-DTI-77 dataset? | Accuracy, F1 |
What metrics were used to measure the IsoNN-fast model in the IsoNN: Isomorphic Neural Network for Graph Representation Learning and Classification paper on the HIV-DTI-77 dataset? | Accuracy, F1 |
What metrics were used to measure the GIN model in the How Powerful are Graph Neural Networks? paper on the HIV-DTI-77 dataset? | Accuracy, F1 |
What metrics were used to measure the CNN model in the ImageNet Classification with Deep Convolutional Neural Networks paper on the HIV-DTI-77 dataset? | Accuracy, F1 |
What metrics were used to measure the WL model in the paper on the HIV-DTI-77 dataset? | Accuracy, F1 |
What metrics were used to measure the IsoNN model in the IsoNN: Isomorphic Neural Network for Graph Representation Learning and Classification paper on the HIV-fMRI-77 dataset? | Accuracy, F1 |
What metrics were used to measure the U2GNN (Unsupervised) model in the Universal Graph Transformer Self-Attention Networks paper on the IMDb-M dataset? | Accuracy |
What metrics were used to measure the TFGW ADJ (L=2) model in the Template based Graph Neural Network with Optimal Transport Distances paper on the IMDb-M dataset? | Accuracy |
What metrics were used to measure the TREE-G model in the TREE-G: Decision Trees Contesting Graph Neural Networks paper on the IMDb-M dataset? | Accuracy |
What metrics were used to measure the MEWISPool model in the Maximum Entropy Weighted Independent Set Pooling for Graph Neural Networks paper on the IMDb-M dataset? | Accuracy |
What metrics were used to measure the DUGNN model in the Learning Universal Graph Neural Network Embeddings With Aid Of Transfer Learning paper on the IMDb-M dataset? | Accuracy |
What metrics were used to measure the G_ResNet model in the When Work Matters: Transforming Classical Network Structures to Graph CNN paper on the IMDb-M dataset? | Accuracy |
What metrics were used to measure the sGIN model in the Mutual Information Maximization in Graph Neural Networks paper on the IMDb-M dataset? | Accuracy |
What metrics were used to measure the GIUNet model in the Graph isomorphism UNet paper on the IMDb-M dataset? | Accuracy |
What metrics were used to measure the U2GNN model in the Universal Graph Transformer Self-Attention Networks paper on the IMDb-M dataset? | Accuracy |
What metrics were used to measure the SEG-BERT model in the Segmented Graph-Bert for Graph Instance Modeling paper on the IMDb-M dataset? | Accuracy |
What metrics were used to measure the GIN-0 model in the How Powerful are Graph Neural Networks? paper on the IMDb-M dataset? | Accuracy |
What metrics were used to measure the WEGL model in the Wasserstein Embedding for Graph Learning paper on the IMDb-M dataset? | Accuracy |
What metrics were used to measure the GFN model in the Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification paper on the IMDb-M dataset? | Accuracy |
What metrics were used to measure the 1-WL Kernel model in the Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks paper on the IMDb-M dataset? | Accuracy |
What metrics were used to measure the DropGIN model in the DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks paper on the IMDb-M dataset? | Accuracy |
What metrics were used to measure the GFN-light model in the Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification paper on the IMDb-M dataset? | Accuracy |
What metrics were used to measure the UGraphEmb-F model in the Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity paper on the IMDb-M dataset? | Accuracy |
What metrics were used to measure the Graph-JEPA model in the Graph-level Representation Learning with Joint-Embedding Predictive Architectures paper on the IMDb-M dataset? | Accuracy |
What metrics were used to measure the GMT model in the Accurate Learning of Graph Representations with Graph Multiset Pooling paper on the IMDb-M dataset? | Accuracy |
What metrics were used to measure the GDL model in the Online Graph Dictionary Learning paper on the IMDb-M dataset? | Accuracy |
What metrics were used to measure the δ-2-LWL model in the Weisfeiler and Leman go sparse: Towards scalable higher-order graph embeddings paper on the IMDb-M dataset? | Accuracy |
What metrics were used to measure the CapsGNN model in the Capsule Graph Neural Network paper on the IMDb-M dataset? | Accuracy |
What metrics were used to measure the UGraphEmb model in the Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity paper on the IMDb-M dataset? | Accuracy |
What metrics were used to measure the PPGN model in the Provably Powerful Graph Networks paper on the IMDb-M dataset? | Accuracy |
What metrics were used to measure the InfoGraph model in the InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization paper on the IMDb-M dataset? | Accuracy |
What metrics were used to measure the k-GNN model in the Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks paper on the IMDb-M dataset? | Accuracy |
What metrics were used to measure the WKPI-kcenters model in the Learning metrics for persistence-based summaries and applications for graph classification paper on the IMDb-M dataset? | Accuracy |
What metrics were used to measure the hGANet model in the Graph Representation Learning via Hard and Channel-Wise Attention Networks paper on the IMDb-M dataset? | Accuracy |
What metrics were used to measure the ApproxRepSet model in the Rep the Set: Neural Networks for Learning Set Representations paper on the IMDb-M dataset? | Accuracy |
What metrics were used to measure the DGCNN model in the An End-to-End Deep Learning Architecture for Graph Classification paper on the IMDb-M dataset? | Accuracy |
What metrics were used to measure the GraphSAGE model in the A Fair Comparison of Graph Neural Networks for Graph Classification paper on the IMDb-M dataset? | Accuracy |
What metrics were used to measure the DGK model in the Deep Graph Kernels paper on the IMDb-M dataset? | Accuracy |
What metrics were used to measure the SPI-GCN model in the SPI-GCN: A Simple Permutation-Invariant Graph Convolutional Network paper on the IMDb-M dataset? | Accuracy |
What metrics were used to measure the DGCNN (sum) model in the An End-to-End Deep Learning Architecture for Graph Classification paper on the IMDb-M dataset? | Accuracy |
What metrics were used to measure the Exphormer model in the Exphormer: Sparse Transformers for Graphs paper on the MNIST 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 MNIST dataset? | Accuracy |
What metrics were used to measure the GRIT model in the Graph Inductive Biases in Transformers without Message Passing paper on the MNIST dataset? | Accuracy |
What metrics were used to measure the GPS model in the Recipe for a General, Powerful, Scalable Graph Transformer paper on the MNIST dataset? | Accuracy |
What metrics were used to measure the GatedGCN model in the Benchmarking Graph Neural Networks paper on the MNIST dataset? | Accuracy |
What metrics were used to measure the GG-NN model in the Gated Graph Sequence Neural Networks paper on the IPC-grounded dataset? | Accuracy |
What metrics were used to measure the CNN model in the IPC: A Benchmark Data Set for Learning with Graph-Structured Data paper on the IPC-grounded dataset? | Accuracy |
What metrics were used to measure the NDP model in the Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling paper on the 5pt. Bench-Easy dataset? | Accuracy |
What metrics were used to measure the Evolution of Graph Classifiers model in the Evolution of Graph Classifiers paper on the MUTAG dataset? | Accuracy, Accuracy (10-fold), Mean Accuracy |
What metrics were used to measure the MEWISPool model in the Maximum Entropy Weighted Independent Set Pooling for Graph Neural Networks paper on the MUTAG dataset? | Accuracy, Accuracy (10-fold), Mean Accuracy |
What metrics were used to measure the TFGW ADJ (L=2) model in the Template based Graph Neural Network with Optimal Transport Distances paper on the MUTAG dataset? | Accuracy, Accuracy (10-fold), Mean Accuracy |
What metrics were used to measure the GIUNet model in the Graph isomorphism UNet paper on the MUTAG dataset? | Accuracy, Accuracy (10-fold), Mean Accuracy |
What metrics were used to measure the G_Inception model in the When Work Matters: Transforming Classical Network Structures to Graph CNN paper on the MUTAG dataset? | Accuracy, Accuracy (10-fold), Mean Accuracy |
What metrics were used to measure the GIC model in the Gaussian-Induced Convolution for Graphs paper on the MUTAG dataset? | Accuracy, Accuracy (10-fold), Mean Accuracy |
What metrics were used to measure the CIN++ model in the CIN++: Enhancing Topological Message Passing paper on the MUTAG dataset? | Accuracy, Accuracy (10-fold), Mean Accuracy |
What metrics were used to measure the sGIN model in the Mutual Information Maximization in Graph Neural Networks paper on the MUTAG dataset? | Accuracy, Accuracy (10-fold), Mean Accuracy |
What metrics were used to measure the CAN model in the Cell Attention Networks paper on the MUTAG dataset? | Accuracy, Accuracy (10-fold), Mean Accuracy |
What metrics were used to measure the Deep WL SGN(0,1,2) model in the Subgraph Networks with Application to Structural Feature Space Expansion paper on the MUTAG dataset? | Accuracy, Accuracy (10-fold), Mean Accuracy |
What metrics were used to measure the QS-CNNs (Quantum Walk) model in the Quantum-based subgraph convolutional neural networks paper on the MUTAG dataset? | Accuracy, Accuracy (10-fold), Mean Accuracy |
What metrics were used to measure the PATCHY-SAN model in the Learning Convolutional Neural Networks for Graphs paper on the MUTAG dataset? | Accuracy, Accuracy (10-fold), Mean Accuracy |
What metrics were used to measure the DDGK model in the DDGK: Learning Graph Representations for Deep Divergence Graph Kernels paper on the MUTAG dataset? | Accuracy, Accuracy (10-fold), Mean Accuracy |
What metrics were used to measure the Graph-JEPA model in the Graph-level Representation Learning with Joint-Embedding Predictive Architectures paper on the MUTAG dataset? | Accuracy, Accuracy (10-fold), Mean Accuracy |
What metrics were used to measure the GraphStar model in the Graph Star Net for Generalized Multi-Task Learning paper on the MUTAG dataset? | Accuracy, Accuracy (10-fold), Mean Accuracy |
What metrics were used to measure the TREE-G model in the TREE-G: Decision Trees Contesting Graph Neural Networks paper on the MUTAG dataset? | Accuracy, Accuracy (10-fold), Mean Accuracy |
What metrics were used to measure the SEG-BERT model in the Segmented Graph-Bert for Graph Instance Modeling paper on the MUTAG dataset? | Accuracy, Accuracy (10-fold), Mean Accuracy |
What metrics were used to measure the GFN model in the Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification paper on the MUTAG dataset? | Accuracy, Accuracy (10-fold), Mean Accuracy |
What metrics were used to measure the PPGN model in the Provably Powerful Graph Networks paper on the MUTAG dataset? | Accuracy, Accuracy (10-fold), Mean Accuracy |
What metrics were used to measure the GAT-GC (f-Scaled) model in the Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation paper on the MUTAG dataset? | Accuracy, Accuracy (10-fold), Mean Accuracy |
What metrics were used to measure the DropGIN model in the DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks paper on the MUTAG dataset? | Accuracy, Accuracy (10-fold), Mean Accuracy |
What metrics were used to measure the LDP model in the A simple yet effective baseline for non-attributed graph classification paper on the MUTAG dataset? | Accuracy, Accuracy (10-fold), Mean Accuracy |
What metrics were used to measure the hGANet model in the Graph Representation Learning via Hard and Channel-Wise Attention Networks paper on the MUTAG dataset? | Accuracy, Accuracy (10-fold), Mean Accuracy |
What metrics were used to measure the U2GNN model in the Universal Graph Transformer Self-Attention Networks paper on the MUTAG dataset? | Accuracy, Accuracy (10-fold), Mean Accuracy |
What metrics were used to measure the FactorGCN model in the Factorizable Graph Convolutional Networks paper on the MUTAG dataset? | Accuracy, Accuracy (10-fold), Mean Accuracy |
What metrics were used to measure the GFN-light model in the Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification paper on the MUTAG dataset? | Accuracy, Accuracy (10-fold), Mean Accuracy |
What metrics were used to measure the GIN-0 model in the How Powerful are Graph Neural Networks? paper on the MUTAG dataset? | Accuracy, Accuracy (10-fold), Mean Accuracy |
What metrics were used to measure the Multigraph ChebNet model in the Spectral Multigraph Networks for Discovering and Fusing Relationships in Molecules paper on the MUTAG dataset? | Accuracy, Accuracy (10-fold), Mean Accuracy |
What metrics were used to measure the InfoGraph model in the InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization paper on the MUTAG dataset? | Accuracy, Accuracy (10-fold), Mean Accuracy |
What metrics were used to measure the PSCN model in the Learning Convolutional Neural Networks for Graphs paper on the MUTAG dataset? | Accuracy, Accuracy (10-fold), Mean Accuracy |
What metrics were used to measure the BC + Capsules model in the Capsule Neural Networks for Graph Classification using Explicit Tensorial Graph Representations paper on the MUTAG dataset? | Accuracy, Accuracy (10-fold), Mean Accuracy |
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