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

Showing 251300 of 482 papers

TitleStatusHype
KG-NSF: Knowledge Graph Completion with a Negative-Sample-Free Approach0
KGRefiner: Knowledge Graph Refinement for Improving Accuracy of Translational Link Prediction Methods0
KG-TRICK: Unifying Textual and Relational Information Completion of Knowledge for Multilingual Knowledge Graphs0
KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models0
Knowledge Graph and Text Jointly Embedding0
Knowledge Graph Assisted Automatic Sports News Writing0
Knowledge Graph Completion as Tensor Decomposition: A Genreal Form and Tensor N-rank Regularization0
Knowledge Graph Completion Method Combined With Adaptive Enhanced Semantic Information0
Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs0
Knowledge Graph Completion to Predict Polypharmacy Side Effects0
Knowledge Graph Completion with Counterfactual Augmentation0
Knowledge Graph Completion with Pre-trained Multimodal Transformer and Twins Negative Sampling0
Knowledge Graph Completion with Text-aided Regularization0
Knowledge Graph Embedding: A Probabilistic Perspective and Generalization Bounds0
Knowledge Graph Embedding via Graph Attenuated Attention Networks0
Knowledge Graphs: Opportunities and Challenges0
Knowledge Reasoning via Jointly Modeling Knowledge Graphs and Soft Rules0
Knowledge Transfer with Medical Language Embeddings0
Learning Structured Embeddings of Knowledge Graphs with Adversarial Learning Framework0
Learning to Borrow– Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph Completion0
Incomplete Knowledge Graph Alignment0
LLM-Assisted Knowledge Graph Completion for Curriculum and Domain Modelling in Personalized Higher Education Recommendations0
Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion0
Membership Inference Attacks on Knowledge Graphs0
Mining On Alzheimer's Diseases Related Knowledge Graph to Identity Potential AD-related Semantic Triples for Drug Repurposing0
Mixed-Curvature Multi-Relational Graph Neural Network for Knowledge Graph Completion0
Mixture-of-Graphs: Zero-shot Relational Learning for Knowledge Graph by Fusing Ontology and Textual Experts0
MoCoKGC: Momentum Contrast Entity Encoding for Knowledge Graph Completion0
MoCoSA: Momentum Contrast for Knowledge Graph Completion with Structure-Augmented Pre-trained Language Models0
MuCo-KGC: Multi-Context-Aware Knowledge Graph Completion0
MulDE: Multi-teacher Knowledge Distillation for Low-dimensional Knowledge Graph Embeddings0
Multi-level Shared Knowledge Guided Learning for Knowledge Graph Completion0
Multilingual Knowledge Graph Completion with Joint Relation and Entity Alignment0
Multi-view Classification Model for Knowledge Graph Completion0
Neural, Symbolic and Neural-Symbolic Reasoning on Knowledge Graphs0
Neural Tensor Networks with Diagonal Slice Matrices0
NeuSTIP: A Novel Neuro-Symbolic Model for Link and Time Prediction in Temporal Knowledge Graphs0
NoiGAN: NOISE AWARE KNOWLEDGE GRAPH EMBEDDING WITH GAN0
One Subgraph for All: Efficient Reasoning on Opening Subgraphs for Inductive Knowledge Graph Completion0
On Event-Driven Knowledge Graph Completion in Digital Factories0
On Large-scale Evaluation of Embedding Models for Knowledge Graph Completion0
On Multi-Relational Link Prediction with Bilinear Models0
On the Aggregation of Rules for Knowledge Graph Completion0
On the Equivalence of Holographic and Complex Embeddings for Link Prediction0
Toward Understanding The Effect Of Loss function On Then Performance Of Knowledge Graph Embedding0
On the Use of Entity Embeddings from Pre-Trained Language Models for Knowledge Graph Completion0
Ontology-enhanced Prompt-tuning for Few-shot Learning0
Path-based knowledge reasoning with textual semantic information for medical knowledge graph completion0
P-INT: A Path-based Interaction Model for Few-shot Knowledge Graph Completion0
Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion0
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Benchmark Results

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