prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the RL model in the DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning paper on the NELL-995 dataset? | Hits@1, Hits@10, MRR, Mean AP, HITS@3 |
What metrics were used to measure the GatedGCN-PE model in the Benchmarking Graph Neural Networks paper on the COLLAB dataset? | Hits |
What metrics were used to measure the NBFNet model in the Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the KG-R3 (this work) model in the A Retrieve-and-Read Framework for Knowledge Graph Link Prediction paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the Relphormer model in the Relphormer: Relational Graph Transformer for Knowledge Graph Representations paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the MetaSD model in the Self-Distillation with Meta Learning for Knowledge Graph Completion paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the ComplEx-N3-RP model in the Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the SAFRAN model in the SAFRAN: An interpretable, rule-based link prediction method outperforming embedding models paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the MoCoSA model in the MoCoSA: Momentum Contrast for Knowledge Graph Completion with Structure-Augmented Pre-trained Language Models paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the kNN-KGE model in the Reasoning Through Memorization: Nearest Neighbor Knowledge Graph Embeddings paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the ComplEx-DURA model in the Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the MEIM model in the MEIM: Multi-partition Embedding Interaction Beyond Block Term Format for Efficient and Expressive Link Prediction paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the NePTuNe model in the NePTuNe: Neural Powered Tucker Network for Knowledge Graph Completion paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the MEI model in the Multi-Partition Embedding Interaction with Block Term Format for Knowledge Graph Completion paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the SE-GNN (ours) model in the How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A Semantic Evidence View paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the RESCAL (SCE w/ LS pretrained) model in the Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With Case Study for Knowledge Graph Embedding paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the RESCAL (SCE w/ LS) model in the Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With Case Study for Knowledge Graph Embedding paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the QuatDE model in the QuatDE: Dynamic Quaternion Embedding for Knowledge Graph Completion paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the SAttLE model in the Self-attention Presents Low-dimensional Knowledge Graph Embeddings for Link Prediction paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the GC-OTE model in the Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the StAR model in the Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the TuckER model in the TuckER: Tensor Factorization for Knowledge Graph Completion paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the RotatE + GreenKGC (Ours) model in the GreenKGC: A Lightweight Knowledge Graph Completion Method paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the LineaRE model in the LineaRE: Simple but Powerful Knowledge Graph Embedding for Link Prediction paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the CompGCN model in the Composition-based Multi-Relational Graph Convolutional Networks paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the TuckER-RP model in the Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the InteractE model in the InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the RESCAL + Decom model in the Decompressing Knowledge Graph Representations for Link Prediction paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the ConvR model in the Adaptive Convolution for Multi-Relational Learning paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the Structure-Aware Convolutional Networks model in the End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the RefE model in the Low-Dimensional Hyperbolic Knowledge Graph Embeddings paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the DensE model in the DensE: An Enhanced Non-commutative Representation for Knowledge Graph Embedding with Adaptive Semantic Hierarchy paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the DRUM (T=3) model in the DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the HypER model in the Hypernetwork Knowledge Graph Embeddings paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the TransE + GreenKGC (Ours) model in the GreenKGC: A Lightweight Knowledge Graph Completion Method paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the HAKE model in the Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the SimKGCIB(+PB+SN) model in the SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the QuatE model in the Quaternion Knowledge Graph Embeddings paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the ConE model in the Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the Rot-Pro model in the Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the MuRP model in the Multi-relational Poincaré Graph Embeddings paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the RotatE model in the RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the BoxE model in the BoxE: A Box Embedding Model for Knowledge Base Completion paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the ConvE model in the Convolutional 2D Knowledge Graph Embeddings paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the pRotatE model in the RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the LP-BERT model in the Multi-task Pre-training Language Model for Semantic Network Completion paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the RotatE model in the GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the KGLM model in the KGLM: Integrating Knowledge Graph Structure in Language Models for Link Prediction paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the JoBi ComplEx model in the Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the TransE model in the Translating Embeddings for Modeling Multi-relational Data paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the GenKGC model in the From Discrimination to Generation: Knowledge Graph Completion with Generative Transformer paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the MLMLM model in the MLMLM: Link Prediction with Mean Likelihood Masked Language Model paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the RR-GCN-PPV model in the R-GCN: The R Could Stand for Random paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the TransD model in the Knowledge Graph Embedding via Dynamic Mapping Matrix paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the Inverse Model model in the Convolutional 2D Knowledge Graph Embeddings paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the HittER model in the HittER: Hierarchical Transformers for Knowledge Graph Embeddings paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the AutoKGE model in the AutoSF: Searching Scoring Functions for Knowledge Graph Embedding paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the CP-N3-RP model in the Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the DistMult (after variational EM) model in the Augmenting and Tuning Knowledge Graph Embeddings paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the KG-R3 model in the A Retrieve-and-Read Framework for Knowledge Graph Link Prediction paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the LASS model in the Joint Language Semantic and Structure Embedding for Knowledge Graph Completion paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the MDE_adv model in the MDE: Multiple Distance Embeddings for Link Prediction in Knowledge Graphs paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the GFA-NN model in the Embedding Knowledge Graphs Attentive to Positional and Centrality Qualities paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the KGRefiner model in the KGRefiner: Knowledge Graph Refinement for Improving Accuracy of Translational Link Prediction Methods paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the ComplEx NSCaching model in the NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the LogicENN model in the LogicENN: A Neural Based Knowledge Graphs Embedding Model with Logical Rules paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the KBGAN (TransD + ComplEx) model in the KBGAN: Adversarial Learning for Knowledge Graph Embeddings paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the PALT model in the PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the ComplEx model in the Complex Embeddings for Simple Link Prediction paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the ConvKB (Corrected) model in the A Re-evaluation of Knowledge Graph Completion Methods paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the KG-BERT model in the KG-BERT: BERT for Knowledge Graph Completion paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the DistMult model in the Embedding Entities and Relations for Learning and Inference in Knowledge Bases paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the KBAT (Corrected) model in the A Re-evaluation of Knowledge Graph Completion Methods paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the CapsE (Corrected) model in the A Re-evaluation of Knowledge Graph Completion Methods paper on the FB15k-237 dataset? | Hits@1, Hits@3, Hits@10, MRR, MR, training time (s), Hit@1, Hit@10 |
What metrics were used to measure the HAHE model in the HAHE: Hierarchical Attention for Hyper-Relational Knowledge Graphs in Global and Local Level paper on the WD50K dataset? | Hit@1, Hit@10, MRR |
What metrics were used to measure the StarE (H) + Transformer (H) model in the Message Passing for Hyper-Relational Knowledge Graphs paper on the WD50K dataset? | Hit@1, Hit@10, MRR |
What metrics were used to measure the GraphStar (double weight on positive examples) model in the Graph Star Net for Generalized Multi-Task Learning paper on the Cora (biased evaluation) dataset? | AP, AUC, Accuracy |
What metrics were used to measure the SCAT (half of negative examples with 0 features) model in the Encoding Robust Representation for Graph Generation paper on the Cora (biased evaluation) dataset? | AP, AUC, Accuracy |
What metrics were used to measure the HOGCN model in the Predicting Biomedical Interactions with Higher-Order Graph Convolutional Networks paper on the Drug-target interactions dataset? | AUPRC |
What metrics were used to measure the DistMult model in the paper on the OpenBioLink dataset? | Hits@10, Interpretable |
What metrics were used to measure the RotatE model in the paper on the OpenBioLink dataset? | Hits@10, Interpretable |
What metrics were used to measure the ComplEx model in the paper on the OpenBioLink dataset? | Hits@10, Interpretable |
What metrics were used to measure the AnyBURL (white box, rule based) model in the paper on the OpenBioLink dataset? | Hits@10, Interpretable |
What metrics were used to measure the SAFRAN (white box, rule based) model in the paper on the OpenBioLink dataset? | Hits@10, Interpretable |
What metrics were used to measure the TransE model in the paper on the OpenBioLink dataset? | Hits@10, Interpretable |
What metrics were used to measure the RESCAL model in the paper on the OpenBioLink dataset? | Hits@10, Interpretable |
What metrics were used to measure the TransR model in the paper on the OpenBioLink dataset? | Hits@10, Interpretable |
What metrics were used to measure the PBG (1 partition) model in the PyTorch-BigGraph: A Large-scale Graph Embedding System paper on the LiveJournal dataset? | Hits@10, MR, MRR |
What metrics were used to measure the PyTorch BigGraph model in the PyTorch-BigGraph: A Large-scale Graph Embedding System paper on the LiveJournal dataset? | Hits@10, MR, MRR |
What metrics were used to measure the GLACE model in the Gaussian Embedding of Large-scale Attributed Graphs paper on the DBLP dataset? | AUC, AP |
What metrics were used to measure the Event2vec model in the Representation Learning for Heterogeneous Information Networks via Embedding Events paper on the DBLP dataset? | AUC, AP |
What metrics were used to measure the HSRL (DW) model in the Learning Topological Representation for Networks via Hierarchical Sampling paper on the DBLP dataset? | AUC, AP |
What metrics were used to measure the NESS model in the NESS: Node Embeddings from Static SubGraphs paper on the Citeseer dataset? | AUC, AP, Accuracy, ACC |
What metrics were used to measure the VGNAE model in the Variational Graph Normalized Auto-Encoders paper on the Citeseer dataset? | AUC, AP, Accuracy, ACC |
What metrics were used to measure the Graph InfoClust (GIC) model in the Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning paper on the Citeseer dataset? | AUC, AP, Accuracy, ACC |
What metrics were used to measure the GNAE model in the Variational Graph Normalized Auto-Encoders paper on the Citeseer dataset? | AUC, AP, Accuracy, ACC |
What metrics were used to measure the Walkpooling model in the Neural Link Prediction with Walk Pooling paper on the Citeseer dataset? | AUC, AP, Accuracy, ACC |
What metrics were used to measure the BANE model in the Binarized Attributed Network Embedding paper on the Citeseer dataset? | AUC, AP, Accuracy, ACC |
What metrics were used to measure the S-VGAE model in the Hyperspherical Variational Auto-Encoders paper on the Citeseer dataset? | AUC, AP, Accuracy, ACC |
What metrics were used to measure the sGraphite-VAE model in the Graphite: Iterative Generative Modeling of Graphs paper on the Citeseer dataset? | AUC, AP, Accuracy, ACC |
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