prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the Graph Diffuser model in the Diffusing Graph Attention paper on the Peptides-struct dataset? | MAE |
What metrics were used to measure the GraphMLPMixer model in the A Generalization of ViT/MLP-Mixer to Graphs paper on the Peptides-struct dataset? | MAE |
What metrics were used to measure the Exphormer model in the Exphormer: Sparse Transformers for Graphs paper on the Peptides-struct dataset? | MAE |
What metrics were used to measure the GCN+virtual node model in the On the Connection Between MPNN and Graph Transformer paper on the Peptides-struct dataset? | MAE |
What metrics were used to measure the GPS model in the Recipe for a General, Powerful, Scalable Graph Transformer paper on the Peptides-struct dataset? | MAE |
What metrics were used to measure the CIN++-500k model in the CIN++: Enhancing Topological Message Passing paper on the Peptides-struct dataset? | MAE |
What metrics were used to measure the Transformer+LapPE model in the Long Range Graph Benchmark paper on the Peptides-struct dataset? | MAE |
What metrics were used to measure the DRew-GCN+LapPE model in the DRew: Dynamically Rewired Message Passing with Delay paper on the Peptides-struct dataset? | MAE |
What metrics were used to measure the SAN+RWSE model in the Long Range Graph Benchmark paper on the Peptides-struct dataset? | MAE |
What metrics were used to measure the PathNN model in the Path Neural Networks: Expressive and Accurate Graph Neural Networks paper on the Peptides-struct dataset? | MAE |
What metrics were used to measure the NPQ+GATv2 model in the Neural Priority Queues for Graph Neural Networks paper on the Peptides-struct dataset? | MAE |
What metrics were used to measure the ViT-PS model in the Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance paper on the Peptides-struct dataset? | MAE |
What metrics were used to measure the SAN+LapPE model in the Long Range Graph Benchmark paper on the Peptides-struct dataset? | MAE |
What metrics were used to measure the GatedGCN+RWSE model in the Long Range Graph Benchmark paper on the Peptides-struct dataset? | MAE |
What metrics were used to measure the GatedGCN model in the Long Range Graph Benchmark paper on the Peptides-struct dataset? | MAE |
What metrics were used to measure the GCNII model in the Simple and Deep Graph Convolutional Networks paper on the Peptides-struct dataset? | MAE |
What metrics were used to measure the GCN model in the Long Range Graph Benchmark paper on the Peptides-struct dataset? | MAE |
What metrics were used to measure the GINE model in the Long Range Graph Benchmark paper on the Peptides-struct dataset? | MAE |
What metrics were used to measure the GRIT model in the Graph Inductive Biases in Transformers without Message Passing paper on the ZINC dataset? | MAE |
What metrics were used to measure the PDF model in the Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering paper on the ZINC dataset? | MAE |
What metrics were used to measure the GPS model in the Recipe for a General, Powerful, Scalable Graph Transformer paper on the ZINC dataset? | MAE |
What metrics were used to measure the GINE model in the Recipe for a General, Powerful, Scalable Graph Transformer paper on the ZINC dataset? | MAE |
What metrics were used to measure the SAGNN model in the Substructure Aware Graph Neural Networks paper on the ZINC dataset? | MAE |
What metrics were used to measure the CIN++ model in the CIN++: Enhancing Topological Message Passing paper on the ZINC dataset? | MAE |
What metrics were used to measure the GraphMLPMixer model in the A Generalization of ViT/MLP-Mixer to Graphs paper on the ZINC dataset? | MAE |
What metrics were used to measure the CIN++-500k model in the CIN++: Enhancing Topological Message Passing paper on the ZINC dataset? | MAE |
What metrics were used to measure the CIN model in the Weisfeiler and Lehman Go Cellular: CW Networks paper on the ZINC dataset? | MAE |
What metrics were used to measure the CRaWl+VN model in the Walking Out of the Weisfeiler Leman Hierarchy: Graph Learning Beyond Message Passing paper on the ZINC dataset? | MAE |
What metrics were used to measure the CIN++-small model in the CIN++: Enhancing Topological Message Passing paper on the ZINC dataset? | MAE |
What metrics were used to measure the CIN-small model in the Weisfeiler and Lehman Go Cellular: CW Networks paper on the ZINC dataset? | MAE |
What metrics were used to measure the PIN model in the Generalizing Topological Graph Neural Networks with Paths paper on the ZINC dataset? | MAE |
What metrics were used to measure the CRaWl model in the Walking Out of the Weisfeiler Leman Hierarchy: Graph Learning Beyond Message Passing paper on the ZINC dataset? | MAE |
What metrics were used to measure the PNA model in the Principal Neighbourhood Aggregation for Graph Nets paper on the ZINC dataset? | MAE |
What metrics were used to measure the MMA model in the Multi-Mask Aggregators for Graph Neural Networks paper on the ZINC dataset? | MAE |
What metrics were used to measure the ChebNet model in the An Experimental Study of the Transferability of Spectral Graph Networks paper on the ZINC dataset? | MAE |
What metrics were used to measure the FactorGCN model in the Factorizable Graph Convolutional Networks paper on the ZINC dataset? | MAE |
What metrics were used to measure the Graph-JEPA model in the Graph-level Representation Learning with Joint-Embedding Predictive Architectures paper on the ZINC dataset? | MAE |
What metrics were used to measure the GREA (GIN) model in the Graph Rationalization with Environment-based Augmentations paper on the GlassTemp dataset? | RMSE |
What metrics were used to measure the ProtoS-L2 model in the Optimal Transport Graph Neural Networks paper on the Lipophilicity dataset? | RMSE, RMSE@80%Train |
What metrics were used to measure the C-SGEN+ Fingerprint model in the Molecule Property Prediction Based on Spatial Graph Embedding paper on the Lipophilicity dataset? | RMSE, RMSE@80%Train |
What metrics were used to measure the GC model in the Convolutional Networks on Graphs for Learning Molecular Fingerprints paper on the Lipophilicity dataset? | RMSE, RMSE@80%Train |
What metrics were used to measure the Weave model in the Molecular Graph Convolutions: Moving Beyond Fingerprints paper on the Lipophilicity dataset? | RMSE, RMSE@80%Train |
What metrics were used to measure the MPNN model in the Neural Message Passing for Quantum Chemistry paper on the Lipophilicity dataset? | RMSE, RMSE@80%Train |
What metrics were used to measure the XGBoost model in the Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective paper on the Lipophilicity dataset? | RMSE, RMSE@80%Train |
What metrics were used to measure the RF model in the Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective paper on the Lipophilicity dataset? | RMSE, RMSE@80%Train |
What metrics were used to measure the ARMA model in the Graph Neural Networks with convolutional ARMA filters paper on the Lipophilicity dataset? | RMSE, RMSE@80%Train |
What metrics were used to measure the GAT model in the Graph Attention Networks paper on the Lipophilicity dataset? | RMSE, RMSE@80%Train |
What metrics were used to measure the AGNN model in the Attention-based Graph Neural Network for Semi-supervised Learning paper on the Lipophilicity dataset? | RMSE, RMSE@80%Train |
What metrics were used to measure the SGC model in the Simplifying Graph Convolutional Networks paper on the Lipophilicity dataset? | RMSE, RMSE@80%Train |
What metrics were used to measure the CensNet model in the CensNet: Convolution with Edge-Node Switching in Graph Neural Networks paper on the Lipophilicity dataset? | RMSE, RMSE@80%Train |
What metrics were used to measure the Logistic Regression model in the CensNet: Convolution with Edge-Node Switching in Graph Neural Networks paper on the Lipophilicity dataset? | RMSE, RMSE@80%Train |
What metrics were used to measure the Random Forests model in the CensNet: Convolution with Edge-Node Switching in Graph Neural Networks paper on the Lipophilicity dataset? | RMSE, RMSE@80%Train |
What metrics were used to measure the CensNet model in the CensNet: Convolution with Edge-Node Switching in Graph Neural Networks paper on the Tox21 dataset? | AUC@80%Train |
What metrics were used to measure the Random Forest model in the CensNet: Convolution with Edge-Node Switching in Graph Neural Networks paper on the Tox21 dataset? | AUC@80%Train |
What metrics were used to measure the Logistic Regression model in the CensNet: Convolution with Edge-Node Switching in Graph Neural Networks paper on the Tox21 dataset? | AUC@80%Train |
What metrics were used to measure the ProtoW-dot model in the Optimal Transport Graph Neural Networks paper on the ESOL dataset? | RMSE |
What metrics were used to measure the Mask2Former model in the CoMFormer: Continual Learning in Semantic and Panoptic Segmentation paper on the ADE20K dataset? | mIoU |
What metrics were used to measure the FC-CLIP model in the Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP paper on the ADE20K dataset? | PQ |
What metrics were used to measure the ODISE(Caption) model in the Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models paper on the ADE20K dataset? | PQ |
What metrics were used to measure the ODISE (Label) model in the Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models paper on the ADE20K dataset? | PQ |
What metrics were used to measure the FreeSeg model in the FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation paper on the ADE20K dataset? | PQ |
What metrics were used to measure the MaskCLIP model in the Extract Free Dense Labels from CLIP paper on the ADE20K dataset? | PQ |
What metrics were used to measure the KiU-Net model in the KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation paper on the Brain Anatomy US dataset? | Dice |
What metrics were used to measure the CodeBERT model in the CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation paper on the CodeXGLUE - WebQueryTest dataset? | Accuracy, F1 |
What metrics were used to measure the Self-attention model in the CoDesc: A Large Code-Description Parallel Dataset paper on the CoDesc dataset? | Test MRR |
What metrics were used to measure the NBOW model in the CoDesc: A Large Code-Description Parallel Dataset paper on the CoDesc dataset? | Test MRR |
What metrics were used to measure the RNN model in the CoDesc: A Large Code-Description Parallel Dataset paper on the CoDesc dataset? | Test MRR |
What metrics were used to measure the CodeT5+ 770M model in the CodeT5+: Open Code Large Language Models for Code Understanding and Generation paper on the CodeXGLUE - AdvTest dataset? | MRR |
What metrics were used to measure the CodeT5+ 220M model in the CodeT5+: Open Code Large Language Models for Code Understanding and Generation paper on the CodeXGLUE - AdvTest dataset? | MRR |
What metrics were used to measure the CodeBERT model in the CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation paper on the CodeXGLUE - AdvTest dataset? | MRR |
What metrics were used to measure the cpt-code M model in the Text and Code Embeddings by Contrastive Pre-Training paper on the CodeSearchNet dataset? | Overall, Go, Ruby, Python, Java, JS, PHP |
What metrics were used to measure the cpt-code S model in the Text and Code Embeddings by Contrastive Pre-Training paper on the CodeSearchNet dataset? | Overall, Go, Ruby, Python, Java, JS, PHP |
What metrics were used to measure the CodeT5+ 770M model in the CodeT5+: Open Code Large Language Models for Code Understanding and Generation paper on the CodeSearchNet dataset? | Overall, Go, Ruby, Python, Java, JS, PHP |
What metrics were used to measure the GraphCodeBERT model in the GraphCodeBERT: Pre-training Code Representations with Data Flow paper on the CodeSearchNet dataset? | Overall, Go, Ruby, Python, Java, JS, PHP |
What metrics were used to measure the CodeT5+ 220M model in the CodeT5+: Open Code Large Language Models for Code Understanding and Generation paper on the CodeSearchNet dataset? | Overall, Go, Ruby, Python, Java, JS, PHP |
What metrics were used to measure the CodeBERT model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet dataset? | Overall, Go, Ruby, Python, Java, JS, PHP |
What metrics were used to measure the Uni-SBT model in the Multimodal Representation for Neural Code Search paper on the CodeSearchNet - Ruby dataset? | MRR |
What metrics were used to measure the DASS-Detector (YOLOX XL) model in the Domain-Adaptive Self-Supervised Pre-Training for Face & Body Detection in Drawings paper on the iCartoonFace dataset? | Average Precision |
What metrics were used to measure the DASS-Detector (YOLOX Tiny) model in the Domain-Adaptive Self-Supervised Pre-Training for Face & Body Detection in Drawings paper on the iCartoonFace dataset? | Average Precision |
What metrics were used to measure the MobileNetV1-0.25 model in the Hardware Architecture of Embedded Inference Accelerator and Analysis of Algorithms for Depthwise and Large-Kernel Convolutions paper on the WIDER FACE dataset? | Average Top-1 Accuracy |
What metrics were used to measure the HPRNet (Hourglass-104) model in the HPRNet: Hierarchical Point Regression for Whole-Body Human Pose Estimation paper on the COCO-WholeBody dataset? | AP, AP50, AP75, APL, APM |
What metrics were used to measure the HPRNet (DLA) model in the HPRNet: Hierarchical Point Regression for Whole-Body Human Pose Estimation paper on the COCO-WholeBody dataset? | AP, AP50, AP75, APL, APM |
What metrics were used to measure the CASSOD model in the CASSOD-Net: Cascaded and Separable Structures of Dilated Convolution for Embedded Vision Systems and Applications paper on the ADE20K dataset? | mIoU |
What metrics were used to measure the TinaFace(ResNet-50) model in the TinaFace: Strong but Simple Baseline for Face Detection paper on the WIDER Face (Hard) dataset? | AP |
What metrics were used to measure the Poly-NL(ResNet-50) model in the Poly-NL: Linear Complexity Non-local Layers with Polynomials paper on the WIDER Face (Hard) dataset? | AP |
What metrics were used to measure the ASFD-D6 model in the ASFD: Automatic and Scalable Face Detector paper on the WIDER Face (Hard) dataset? | AP |
What metrics were used to measure the RetinaFace+Lpts+Lpixel model in the RetinaFace: Single-stage Dense Face Localisation in the Wild paper on the WIDER Face (Hard) dataset? | AP |
What metrics were used to measure the AInnoFace model in the Accurate Face Detection for High Performance paper on the WIDER Face (Hard) dataset? | AP |
What metrics were used to measure the DupNet-L+PACT model in the DupNet: Towards Very Tiny Quantized CNN with Improved Accuracy for Face Detection paper on the WIDER Face (Hard) dataset? | AP |
What metrics were used to measure the DSFD model in the DSFD: Dual Shot Face Detector paper on the WIDER Face (Hard) dataset? | AP |
What metrics were used to measure the + DH + HIM model in the Robust Face Detection via Learning Small Faces on Hard Images paper on the WIDER Face (Hard) dataset? | AP |
What metrics were used to measure the FDNet model in the Face Detection Using Improved Faster RCNN paper on the WIDER Face (Hard) dataset? | AP |
What metrics were used to measure the SRN model in the Selective Refinement Network for High Performance Face Detection paper on the WIDER Face (Hard) dataset? | AP |
What metrics were used to measure the PyramidBox model in the PyramidBox: A Context-assisted Single Shot Face Detector paper on the WIDER Face (Hard) dataset? | AP |
What metrics were used to measure the Face R-FCN model in the Detecting Faces Using Region-based Fully Convolutional Networks paper on the WIDER Face (Hard) dataset? | AP |
What metrics were used to measure the MogFace (HCAM) model in the MogFace: Towards a Deeper Appreciation on Face Detection paper on the WIDER Face (Hard) dataset? | AP |
What metrics were used to measure the CenterFace model in the CenterFace: Joint Face Detection and Alignment Using Face as Point paper on the WIDER Face (Hard) dataset? | AP |
What metrics were used to measure the MogFace (Ali-AMS) model in the MogFace: Towards a Deeper Appreciation on Face Detection paper on the WIDER Face (Hard) dataset? | AP |
What metrics were used to measure the WSMA-Seg model in the Segmentation is All You Need paper on the WIDER Face (Hard) dataset? | AP |
What metrics were used to measure the YOLOv5x6 model in the YOLO5Face: Why Reinventing a Face Detector paper on the WIDER Face (Hard) dataset? | AP |
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