prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the GatedGCN model in the Long Range Graph Benchmark paper on the Peptides-func dataset? | AP, AUROC |
What metrics were used to measure the GCNII model in the Simple and Deep Graph Convolutional Networks paper on the Peptides-func dataset? | AP, AUROC |
What metrics were used to measure the GINE model in the Long Range Graph Benchmark paper on the Peptides-func dataset? | AP, AUROC |
What metrics were used to measure the U2GNN (Unsupervised) model in the Universal Graph Transformer Self-Attention Networks paper on the COLLAB dataset? | Accuracy, Accuracy (10-fold) |
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 COLLAB dataset? | Accuracy, Accuracy (10-fold) |
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 COLLAB dataset? | Accuracy, Accuracy (10-fold) |
What metrics were used to measure the G_DenseNet model in the When Work Matters: Transforming Classical Network Structures to Graph CNN paper on the COLLAB dataset? | Accuracy, Accuracy (10-fold) |
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 COLLAB dataset? | Accuracy, Accuracy (10-fold) |
What metrics were used to measure the PPGN model in the Provably Powerful Graph Networks paper on the COLLAB dataset? | Accuracy, Accuracy (10-fold) |
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 COLLAB dataset? | Accuracy, Accuracy (10-fold) |
What metrics were used to measure the FactorGCN model in the Factorizable Graph Convolutional Networks paper on the COLLAB dataset? | Accuracy, Accuracy (10-fold) |
What metrics were used to measure the GMT model in the Accurate Learning of Graph Representations with Graph Multiset Pooling paper on the COLLAB dataset? | Accuracy, Accuracy (10-fold) |
What metrics were used to measure the sGIN model in the Mutual Information Maximization in Graph Neural Networks paper on the COLLAB dataset? | Accuracy, Accuracy (10-fold) |
What metrics were used to measure the GCN model in the Fast Graph Representation Learning with PyTorch Geometric paper on the COLLAB dataset? | Accuracy, Accuracy (10-fold) |
What metrics were used to measure the Self-supervised GraphMAE model in the GraphMAE: Self-Supervised Masked Graph Autoencoders paper on the COLLAB dataset? | Accuracy, Accuracy (10-fold) |
What metrics were used to measure the GIN-0 model in the How Powerful are Graph Neural Networks? paper on the COLLAB dataset? | Accuracy, Accuracy (10-fold) |
What metrics were used to measure the WEGL model in the Wasserstein Embedding for Graph Learning paper on the COLLAB dataset? | Accuracy, Accuracy (10-fold) |
What metrics were used to measure the MEWISPool model in the Maximum Entropy Weighted Independent Set Pooling for Graph Neural Networks paper on the COLLAB dataset? | Accuracy, Accuracy (10-fold) |
What metrics were used to measure the CapsGNN model in the Capsule Graph Neural Network paper on the COLLAB dataset? | Accuracy, Accuracy (10-fold) |
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 COLLAB dataset? | Accuracy, Accuracy (10-fold) |
What metrics were used to measure the SEG-BERT model in the Segmented Graph-Bert for Graph Instance Modeling paper on the COLLAB dataset? | Accuracy, Accuracy (10-fold) |
What metrics were used to measure the U2GNN model in the Universal Graph Transformer Self-Attention Networks paper on the COLLAB dataset? | Accuracy, Accuracy (10-fold) |
What metrics were used to measure the Graph U-Nets model in the Graph U-Nets paper on the COLLAB dataset? | Accuracy, Accuracy (10-fold) |
What metrics were used to measure the hGANet model in the Graph Representation Learning via Hard and Channel-Wise Attention Networks paper on the COLLAB dataset? | Accuracy, Accuracy (10-fold) |
What metrics were used to measure the GNN (DiffPool) model in the Hierarchical Graph Representation Learning with Differentiable Pooling paper on the COLLAB dataset? | Accuracy, Accuracy (10-fold) |
What metrics were used to measure the GraphSAGE model in the A Fair Comparison of Graph Neural Networks for Graph Classification paper on the COLLAB dataset? | Accuracy, Accuracy (10-fold) |
What metrics were used to measure the DGCNN model in the An End-to-End Deep Learning Architecture for Graph Classification paper on the COLLAB dataset? | Accuracy, Accuracy (10-fold) |
What metrics were used to measure the DGK model in the Deep Graph Kernels paper on the COLLAB dataset? | Accuracy, Accuracy (10-fold) |
What metrics were used to measure the DiffWire model in the DiffWire: Inductive Graph Rewiring via the Lovász Bound paper on the COLLAB dataset? | Accuracy, Accuracy (10-fold) |
What metrics were used to measure the 2D CNN model in the Graph Classification with 2D Convolutional Neural Networks paper on the COLLAB dataset? | Accuracy, Accuracy (10-fold) |
What metrics were used to measure the CT-Layer model in the DiffWire: Inductive Graph Rewiring via the Lovász Bound paper on the COLLAB dataset? | Accuracy, Accuracy (10-fold) |
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 COLLAB dataset? | Accuracy, Accuracy (10-fold) |
What metrics were used to measure the DGCNN model in the DGCNN: Disordered Graph Convolutional Neural Network Based on the Gaussian Mixture Model paper on the COLLAB dataset? | Accuracy, Accuracy (10-fold) |
What metrics were used to measure the Weak-supervised ChebyNet model in the Understanding Attention and Generalization in Graph Neural Networks paper on the COLLAB dataset? | Accuracy, Accuracy (10-fold) |
What metrics were used to measure the GAP-Layer (Ncut) model in the DiffWire: Inductive Graph Rewiring via the Lovász Bound paper on the COLLAB dataset? | Accuracy, Accuracy (10-fold) |
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 COLLAB dataset? | Accuracy, Accuracy (10-fold) |
What metrics were used to measure the GAP-Layer (Rcut) model in the DiffWire: Inductive Graph Rewiring via the Lovász Bound paper on the COLLAB dataset? | Accuracy, Accuracy (10-fold) |
What metrics were used to measure the GDL-g (ADJ) model in the Online Graph Dictionary Learning paper on the BZR dataset? | Accuracy |
What metrics were used to measure the U2GNN (Unsupervised) model in the Universal Graph Transformer Self-Attention Networks paper on the PTC dataset? | Accuracy |
What metrics were used to measure the GIUNet model in the Graph isomorphism UNet paper on the PTC dataset? | Accuracy |
What metrics were used to measure the GIC model in the Gaussian-Induced Convolution for Graphs paper on the PTC 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 PTC 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 PTC dataset? | Accuracy |
What metrics were used to measure the sGIN model in the Mutual Information Maximization in Graph Neural Networks paper on the PTC dataset? | Accuracy |
What metrics were used to measure the G_DenseNet model in the When Work Matters: Transforming Classical Network Structures to Graph CNN paper on the PTC dataset? | Accuracy |
What metrics were used to measure the CIN++ model in the CIN++: Enhancing Topological Message Passing paper on the PTC dataset? | Accuracy |
What metrics were used to measure the CAN model in the Cell Attention Networks paper on the PTC 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 PTC 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 PTC dataset? | Accuracy |
What metrics were used to measure the DGA model in the Discriminative Graph Autoencoder paper on the PTC dataset? | Accuracy |
What metrics were used to measure the U2GNN model in the Universal Graph Transformer Self-Attention Networks paper on the PTC 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 PTC dataset? | Accuracy |
What metrics were used to measure the SEG-BERT model in the Segmented Graph-Bert for Graph Instance Modeling paper on the PTC dataset? | Accuracy |
What metrics were used to measure the Spec-GN model in the A New Perspective on the Effects of Spectrum in Graph Neural Networks paper on the PTC dataset? | Accuracy |
What metrics were used to measure the WEGL model in the Wasserstein Embedding for Graph Learning paper on the PTC dataset? | Accuracy |
What metrics were used to measure the WWL model in the Wasserstein Weisfeiler-Lehman Graph Kernels paper on the PTC 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 PTC dataset? | Accuracy |
What metrics were used to measure the PPGN model in the Provably Powerful Graph Networks paper on the PTC dataset? | 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 PTC dataset? | Accuracy |
What metrics were used to measure the DGCNN model in the DGCNN: Disordered Graph Convolutional Neural Network Based on the Gaussian Mixture Model paper on the PTC 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 PTC dataset? | Accuracy |
What metrics were used to measure the GIN-0 model in the How Powerful are Graph Neural Networks? paper on the PTC dataset? | Accuracy |
What metrics were used to measure the cGANet model in the Graph Representation Learning via Hard and Channel-Wise Attention Networks paper on the PTC dataset? | Accuracy |
What metrics were used to measure the DDGK model in the DDGK: Learning Graph Representations for Deep Divergence Graph Kernels paper on the PTC dataset? | Accuracy |
What metrics were used to measure the GANet model in the Graph Representation Learning via Hard and Channel-Wise Attention Networks paper on the PTC dataset? | Accuracy |
What metrics were used to measure the DAGCN model in the DAGCN: Dual Attention Graph Convolutional Networks paper on the PTC dataset? | Accuracy |
What metrics were used to measure the SF + RFC model in the A Simple Baseline Algorithm for Graph Classification paper on the PTC 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 PTC 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 PTC 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 PTC dataset? | Accuracy |
What metrics were used to measure the graph2vec model in the graph2vec: Learning Distributed Representations of Graphs paper on the PTC dataset? | Accuracy |
What metrics were used to measure the PATCHY-SAN model in the Learning Convolutional Neural Networks for Graphs paper on the PTC 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 PTC 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 PTC 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 PTC 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 NCI1 dataset? | Accuracy |
What metrics were used to measure the WKPI-kmeans model in the Learning metrics for persistence-based summaries and applications for graph classification paper on the NCI1 dataset? | Accuracy |
What metrics were used to measure the FGW wl h=4 sp model in the Optimal Transport for structured data with application on graphs paper on the NCI1 dataset? | Accuracy |
What metrics were used to measure the WL-OA Kernel model in the Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks paper on the NCI1 dataset? | Accuracy |
What metrics were used to measure the WL-OA model in the On Valid Optimal Assignment Kernels and Applications to Graph Classification paper on the NCI1 dataset? | Accuracy |
What metrics were used to measure the FGW wl h=2 sp model in the Optimal Transport for structured data with application on graphs paper on the NCI1 dataset? | Accuracy |
What metrics were used to measure the WWL model in the Wasserstein Weisfeiler-Lehman Graph Kernels paper on the NCI1 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 NCI1 dataset? | Accuracy |
What metrics were used to measure the DUGNN model in the Learning Universal Adversarial Perturbations with Generative Models paper on the NCI1 dataset? | Accuracy |
What metrics were used to measure the CIN++ model in the CIN++: Enhancing Topological Message Passing paper on the NCI1 dataset? | Accuracy |
What metrics were used to measure the CORE-WL model in the Graph Kernels: A Survey paper on the NCI1 dataset? | Accuracy |
What metrics were used to measure the PIN model in the Generalizing Topological Graph Neural Networks with Paths paper on the NCI1 dataset? | Accuracy |
What metrics were used to measure the Norm-GN model in the A New Perspective on the Effects of Spectrum in Graph Neural Networks paper on the NCI1 dataset? | Accuracy |
What metrics were used to measure the Propagation kernels (pk) model in the Propagation kernels: efficient graph kernels from propagated information paper on the NCI1 dataset? | Accuracy |
What metrics were used to measure the CAN model in the Cell Attention Networks paper on the NCI1 dataset? | Accuracy |
What metrics were used to measure the GIC model in the Gaussian-Induced Convolution for Graphs paper on the NCI1 dataset? | Accuracy |
What metrics were used to measure the sGIN model in the Mutual Information Maximization in Graph Neural Networks paper on the NCI1 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 NCI1 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 NCI1 dataset? | 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 NCI1 dataset? | Accuracy |
What metrics were used to measure the PPGN model in the Provably Powerful Graph Networks paper on the NCI1 dataset? | Accuracy |
What metrics were used to measure the GCAPS-CNN model in the Graph Capsule Convolutional Neural Networks paper on the NCI1 dataset? | Accuracy |
What metrics were used to measure the GIN-0 model in the How Powerful are Graph Neural Networks? paper on the NCI1 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 NCI1 dataset? | Accuracy |
What metrics were used to measure the DAGCN model in the DAGCN: Dual Attention Graph Convolutional Networks paper on the NCI1 dataset? | Accuracy |
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