prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the NERO model in the Relation order histograms as a network embedding tool paper on the NCI1 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 NCI1 dataset? | Accuracy |
What metrics were used to measure the VRGC model in the Variational Recurrent Neural Networks for Graph Classification paper on the NCI1 dataset? | Accuracy |
What metrics were used to measure the GIUNet model in the Graph isomorphism UNet paper on the NCI1 dataset? | Accuracy |
What metrics were used to measure the GIN model in the A Fair Comparison of Graph Neural Networks for Graph Classification paper on the NCI1 dataset? | Accuracy |
What metrics were used to measure the HGP-SL model in the Hierarchical Graph Pooling with Structure Learning paper on the NCI1 dataset? | Accuracy |
What metrics were used to measure the CapsGNN model in the Capsule Graph Neural Network paper on the NCI1 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 NCI1 dataset? | Accuracy |
What metrics were used to measure the WEGL model in the Wasserstein Embedding for Graph Learning paper on the NCI1 dataset? | Accuracy |
What metrics were used to measure the DGCNN model in the A Fair Comparison of Graph Neural Networks for Graph Classification paper on the NCI1 dataset? | Accuracy |
What metrics were used to measure the PSCN model in the Learning Convolutional Neural Networks for Graphs paper on the NCI1 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 NCI1 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 NCI1 dataset? | Accuracy |
What metrics were used to measure the SF + RFC model in the A Simple Baseline Algorithm for Graph Classification paper on the NCI1 dataset? | Accuracy |
What metrics were used to measure the Fea2Fea-s3 model in the Fea2Fea: Exploring Structural Feature Correlations via Graph Neural Networks paper on the NCI1 dataset? | Accuracy |
What metrics were used to measure the SAEPool_g model in the Relational Reasoning Over Spatial-Temporal Graphs for Video Summarization paper on the NCI1 dataset? | Accuracy |
What metrics were used to measure the SAGPool_g model in the Self-Attention Graph Pooling paper on the NCI1 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 NCI1 dataset? | Accuracy |
What metrics were used to measure the 2-WL-GNN model in the A Novel Higher-order Weisfeiler-Lehman Graph Convolution paper on the NCI1 dataset? | Accuracy |
What metrics were used to measure the graph2vec model in the graph2vec: Learning Distributed Representations of Graphs paper on the NCI1 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 NCI1 dataset? | Accuracy |
What metrics were used to measure the FGW raw 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 ASAP model in the ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations paper on the NCI1 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 NCI1 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 NCI1 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 NCI1 dataset? | Accuracy |
What metrics were used to measure the GAM model in the Graph Classification using Structural Attention paper on the NCI1 dataset? | Accuracy |
What metrics were used to measure the SAGPool_h model in the Self-Attention Graph Pooling paper on the NCI1 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 NCI1 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 NCI1 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 NCI1 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 Web dataset? | Accuracy |
What metrics were used to measure the GTOT-Tuning model in the Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport paper on the BACE dataset? | ROC-AUC |
What metrics were used to measure the HGFND model in the Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks paper on the UPFD-POL dataset? | Accuracy (%) |
What metrics were used to measure the UPFD-SAGE model in the User Preference-aware Fake News Detection paper on the UPFD-POL dataset? | Accuracy (%) |
What metrics were used to measure the GCNFN model in the User Preference-aware Fake News Detection paper on the UPFD-POL dataset? | Accuracy (%) |
What metrics were used to measure the UPFD-BiGCN model in the User Preference-aware Fake News Detection paper on the UPFD-POL dataset? | Accuracy (%) |
What metrics were used to measure the UPFD-GAT model in the User Preference-aware Fake News Detection paper on the UPFD-POL dataset? | Accuracy (%) |
What metrics were used to measure the UPFD-GCNFN model in the User Preference-aware Fake News Detection paper on the UPFD-POL dataset? | Accuracy (%) |
What metrics were used to measure the UPFD-GCN model in the User Preference-aware Fake News Detection paper on the UPFD-POL dataset? | Accuracy (%) |
What metrics were used to measure the GNNCL model in the User Preference-aware Fake News Detection paper on the UPFD-POL 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 REDDIT-MULTI-5k dataset? | Accuracy |
What metrics were used to measure the GTOT-Tuning model in the Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport paper on the ClinTox dataset? | ROC-AUC |
What metrics were used to measure the GIN-0 model in the How Powerful are Graph Neural Networks? paper on the RE-M5K 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 RE-M5K dataset? | Accuracy |
What metrics were used to measure the WEGL model in the Wasserstein Embedding for Graph Learning paper on the RE-M5K dataset? | Accuracy |
What metrics were used to measure the CapsGNN model in the Capsule Graph Neural Network paper on the RE-M5K dataset? | Accuracy |
What metrics were used to measure the 2D CNN model in the Graph Classification with 2D Convolutional Neural Networks paper on the RE-M5K 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 RE-M5K 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 RE-M5K dataset? | Accuracy |
What metrics were used to measure the DGK model in the Deep Graph Kernels paper on the RE-M5K 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 HYDRIDES dataset? | Accuracy |
What metrics were used to measure the Faster-RCNN model in the The MECCANO Dataset: Understanding Human-Object Interactions from Egocentric Videos in an Industrial-like Domain paper on the MECCANO dataset? | mAP |
What metrics were used to measure the ObjectNet-Baseline model in the paper on the ObjectNet (ImageNet classes, trained on ImageNet) dataset? | Top 5 Accuracy, Top 1 Accuracy |
What metrics were used to measure the AJ2021 model in the paper on the ObjectNet (ImageNet classes, trained on ImageNet) dataset? | Top 5 Accuracy, Top 1 Accuracy |
What metrics were used to measure the ObjectNet-Baseline model in the paper on the ObjectNet (All classes) dataset? | Top 5 Accuracy, Top 1 Accuracy |
What metrics were used to measure the yun model in the paper on the ObjectNet (All classes) dataset? | Top 5 Accuracy, Top 1 Accuracy |
What metrics were used to measure the ObjectNet-Baseline model in the paper on the ObjectNet (ImageNet classes) dataset? | Top 5 Accuracy, Top 1 Accuracy |
What metrics were used to measure the DY model in the paper on the ObjectNet (ImageNet classes) dataset? | Top 5 Accuracy, Top 1 Accuracy |
What metrics were used to measure the Linear FullPosterior-MR model in the Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling paper on the Mushroom dataset? | Cumulative regret |
What metrics were used to measure the NeuralLinear FullPosterior-MR model in the Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling paper on the Mushroom dataset? | Cumulative regret |
What metrics were used to measure the R2R+EnvDrop model in the Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout paper on the Room2Room dataset? | spl |
What metrics were used to measure the RCM + SIL model in the Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation paper on the Room2Room dataset? | spl |
What metrics were used to measure the Tactical Rewind - short model in the Tactical Rewind: Self-Correction via Backtracking in Vision-and-Language Navigation paper on the Room2Room dataset? | spl |
What metrics were used to measure the Graph2Seq-PGE model in the Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks paper on the WikiSQL dataset? | BLEU-4 |
What metrics were used to measure the GGS-NN model in the Gated Graph Sequence Neural Networks paper on the WikiSQL dataset? | BLEU-4 |
What metrics were used to measure the InvPT model in the InvPT: Inverted Pyramid Multi-task Transformer for Dense Scene Understanding paper on the PASCAL Context dataset? | mIoU |
What metrics were used to measure the Cluster-GCN model in the Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks paper on the Amazon2M dataset? | F1 |
What metrics were used to measure the GCNII model in the Simple and Deep Graph Convolutional Networks paper on the Cora Full-supervised dataset? | Accuracy |
What metrics were used to measure the IncepGCN+DropEdge model in the DropEdge: Towards Deep Graph Convolutional Networks on Node Classification paper on the Cora 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 Cora 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 Cora 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 Cora 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 Cora Full-supervised dataset? | Accuracy |
What metrics were used to measure the GraphSAGE model in the Inductive Representation Learning on Large Graphs paper on the Cora Full-supervised dataset? | Accuracy |
What metrics were used to measure the GraphMix (GCN) model in the GraphMix: Improved Training of GNNs for Semi-Supervised Learning paper on the Cora Full-supervised 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 CiteSeer (1%) 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 CiteSeer (1%) dataset? | Accuracy |
What metrics were used to measure the MT-GCN model in the Mutual Teaching for Graph Convolutional Networks paper on the CiteSeer (1%) 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 CiteSeer (1%) 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 CiteSeer (1%) 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 CiteSeer (1%) dataset? | Accuracy |
What metrics were used to measure the AdaLanczosNet model in the LanczosNet: Multi-Scale Deep Graph Convolutional Networks paper on the CiteSeer (1%) dataset? | Accuracy |
What metrics were used to measure the DCNN model in the Diffusion-Convolutional Neural Networks paper on the CiteSeer (1%) dataset? | Accuracy |
What metrics were used to measure the LanczosNet model in the LanczosNet: Multi-Scale Deep Graph Convolutional Networks paper on the CiteSeer (1%) 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 CiteSeer (1%) dataset? | Accuracy |
What metrics were used to measure the GGNN model in the Gated Graph Sequence Neural Networks paper on the CiteSeer (1%) 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 CiteSeer (1%) dataset? | Accuracy |
What metrics were used to measure the GraphSAGE model in the Inductive Representation Learning on Large Graphs paper on the CiteSeer (1%) dataset? | Accuracy |
What metrics were used to measure the GAT model in the Graph Attention Networks paper on the CiteSeer (1%) dataset? | Accuracy |
What metrics were used to measure the GREAD-BS model in the GREAD: Graph Neural Reaction-Diffusion Networks paper on the Wisconsin (48%/32%/20% fixed splits) dataset? | Accuracy, 1:1 Accuracy |
What metrics were used to measure the GREAD-F model in the GREAD: Graph Neural Reaction-Diffusion Networks paper on the Wisconsin (48%/32%/20% fixed splits) dataset? | Accuracy, 1:1 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 Wisconsin (48%/32%/20% fixed splits) dataset? | Accuracy, 1:1 Accuracy |
What metrics were used to measure the GraphGAN model in the GraphGAN: Graph Representation Learning with Generative Adversarial Nets paper on the Eximtradedata dataset? | Accuracy, Macro-F1, Macro F1, Micro F1 |
What metrics were used to measure the Struc2vec model in the struc2vec: Learning Node Representations from Structural Identity paper on the Eximtradedata dataset? | Accuracy, Macro-F1, Macro F1, Micro F1 |
What metrics were used to measure the DeepWalk model in the DeepWalk: Online Learning of Social Representations paper on the Eximtradedata dataset? | Accuracy, Macro-F1, Macro F1, Micro F1 |
What metrics were used to measure the node2vec model in the node2vec: Scalable Feature Learning for Networks paper on the Eximtradedata dataset? | Accuracy, Macro-F1, Macro F1, Micro F1 |
What metrics were used to measure the LINE model in the LINE: Large-scale Information Network Embedding paper on the Eximtradedata dataset? | Accuracy, Macro-F1, Macro F1, Micro F1 |
What metrics were used to measure the GraRep model in the GraRep: Learning Graph Representations with Global Structural Information paper on the Eximtradedata dataset? | Accuracy, Macro-F1, Macro F1, Micro F1 |
What metrics were used to measure the DAOR model in the Bridging the Gap between Community and Node Representations: Graph Embedding via Community Detection paper on the Eximtradedata dataset? | Accuracy, Macro-F1, Macro F1, Micro F1 |
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