SOTAVerified

Knowledge Graph Completion

Knowledge graphs $G$ are represented as a collection of triples $\{(h, r, t)\}\subseteq E\times R\times E$, where $E$ and $R$ are the entity set and relation set. The task of Knowledge Graph Completion is to either predict unseen relations $r$ between two existing entities: $(h, ?, t)$ or predict the tail entity $t$ given the head entity and the query relation: $(h, r, ?)$.

Source: One-Shot Relational Learning for Knowledge Graphs

Papers

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Showing 351–400 of 482 papers

TitleStatusHype
HyperCausalLP: Causal Link Prediction using Hyper-Relational Knowledge Graph—0
IME: Integrating Multi-curvature Shared and Specific Embedding for Temporal Knowledge Graph Completion—0
Improved Knowledge Graph Embedding using Background Taxonomic Information—0
Evaluating the Calibration of Knowledge Graph Embeddings for Trustworthy Link Prediction—0
In-Context Learning with Topological Information for Knowledge Graph Completion—0
Incorporating Structured Sentences with Time-enhanced BERT for Fully-inductive Temporal Relation Prediction—0
INDIGO: GNN-Based Inductive Knowledge Graph Completion Using Pair-Wise Encoding—0
Inductive Relation Prediction Using Analogy Subgraph Embeddings—0
Interaction Order Prediction for Temporal Graphs—0
Is Aligning Embedding Spaces a Challenging Task? A Study on Heterogeneous Embedding Alignment Methods—0
Is Architectural Complexity Overrated? Competitive and Interpretable Knowledge Graph Completion with RelatE—0
Is Knowledge Embedding Fully Exploited in Language Understanding? An Empirical Study—0
Is Large Language Model Good at Triple Set Prediction? An Empirical Study—0
Is There More Pattern in Knowledge Graph? Exploring Proximity Pattern for Knowledge Graph Embedding—0
Joint Representation Learning of Text and Knowledge for Knowledge Graph Completion—0
KaLM: Knowledge-aligned Autoregressive Language Modeling via Dual-view Knowledge Graph Contrastive Learning—0
KG-CF: Knowledge Graph Completion with Context Filtering under the Guidance of Large Language Models—0
KGExplainer: Towards Exploring Connected Subgraph Explanations for Knowledge Graph Completion—0
KG-NSF: Knowledge Graph Completion with a Negative-Sample-Free Approach—0
KGRefiner: Knowledge Graph Refinement for Improving Accuracy of Translational Link Prediction Methods—0
KG-TRICK: Unifying Textual and Relational Information Completion of Knowledge for Multilingual Knowledge Graphs—0
KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models—0
Knowledge Graph and Text Jointly Embedding—0
Knowledge Graph Assisted Automatic Sports News Writing—0
Knowledge Graph Completion as Tensor Decomposition: A Genreal Form and Tensor N-rank Regularization—0
Knowledge Graph Completion Method Combined With Adaptive Enhanced Semantic Information—0
Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs—0
Knowledge Graph Completion to Predict Polypharmacy Side Effects—0
Knowledge Graph Completion with Counterfactual Augmentation—0
Knowledge Graph Completion with Pre-trained Multimodal Transformer and Twins Negative Sampling—0
Knowledge Graph Completion with Text-aided Regularization—0
Knowledge Graph Embedding: A Probabilistic Perspective and Generalization Bounds—0
Knowledge Graph Embedding via Graph Attenuated Attention Networks—0
Knowledge Graphs: Opportunities and Challenges—0
Knowledge Reasoning via Jointly Modeling Knowledge Graphs and Soft Rules—0
Knowledge Transfer with Medical Language Embeddings—0
Large Margin Prototypical Network for Few-shot Relation Classification with Fine-grained Features—0
Learning High-order Structural and Attribute information by Knowledge Graph Attention Networks for Enhancing Knowledge Graph Embedding—0
Learning Physical Common Sense as Knowledge Graph Completion via BERT Data Augmentation and Constrained Tucker Factorization—0
Learning Relation-Specific Representations for Few-shot Knowledge Graph Completion—0
Learning Structured Embeddings of Knowledge Graphs with Adversarial Learning Framework—0
Learning to Borrow– Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph Completion—0
Incomplete Knowledge Graph Alignment—0
LLM-Assisted Knowledge Graph Completion for Curriculum and Domain Modelling in Personalized Higher Education Recommendations—0
Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion—0
Membership Inference Attacks on Knowledge Graphs—0
Mining On Alzheimer's Diseases Related Knowledge Graph to Identity Potential AD-related Semantic Triples for Drug Repurposing—0
Mixed-Curvature Multi-Relational Graph Neural Network for Knowledge Graph Completion—0
Mixture-of-Graphs: Zero-shot Relational Learning for Knowledge Graph by Fusing Ontology and Textual Experts—0
MoCoKGC: Momentum Contrast Entity Encoding for Knowledge Graph Completion—0
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All datasetsFB15k-237DBP-5L (English)DBP-5L (Greek)DPB-5L (French)WN18RRDBbook2014MovieLens 1M

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1KBGATHits@1062.6—Unverified
2HAKEHits@1054.2—Unverified
3PKGCHits@1048.7—Unverified
4KBATHits@146—Unverified
#ModelMetricClaimedVerifiedStatus
1JMACMRR44.6—Unverified
2AlignKGCMRR41.3—Unverified
3SS-AGAMRR32.1—Unverified
#ModelMetricClaimedVerifiedStatus
1JMACMRR71.7—Unverified
2AlignKGCMRR69.4—Unverified
3SS-AGAMRR35.3—Unverified
#ModelMetricClaimedVerifiedStatus
1JMACMRR64.5—Unverified
2AlignKGCMRR59.5—Unverified
3SS-AGAMRR36.6—Unverified
#ModelMetricClaimedVerifiedStatus
1HAKEHits@30.52—Unverified
2KBGATHits@30.48—Unverified
#ModelMetricClaimedVerifiedStatus
1KTUP (soft)Hits@1060.75—Unverified
#ModelMetricClaimedVerifiedStatus
1KTUP (soft)Hits@1048.9—Unverified