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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 301–350 of 482 papers

TitleStatusHype
Contextual Dictionary Lookup for Knowledge Graph Completion—0
ConvD: Attention Enhanced Dynamic Convolutional Embeddings for Knowledge Graph Completion—0
Cross-lingual Alignment of Knowledge Graph Triples with Sentences—0
Cyber Knowledge Completion Using Large Language Models—0
Data Augmentation for Few-Shot Knowledge Graph Completion from Hierarchical Perspective—0
Data Collection vs. Knowledge Graph Completion: What is Needed to Improve Coverage?—0
Decoupling Mixture-of-Graphs: Unseen Relational Learning for Knowledge Graph Completion by Fusing Ontology and Textual Experts—0
Deep Sparse Latent Feature Models for Knowledge Graph Completion—0
DiffusionCom: Structure-Aware Multimodal Diffusion Model for Multimodal Knowledge Graph Completion—0
Discovering Fine-Grained Semantics in Knowledge Graph Relations—0
Distantly Supervised Biomedical Knowledge Acquisition via Knowledge Graph Based Attention—0
Does Pre-trained Language Model Actually Infer Unseen Links in Knowledge Graph Completion?—0
Do Pre-trained Models Benefit Knowledge Graph Completion? A Reliable Evaluation and a Reasonable Approach—0
DsMtGCN: A Direction-sensitive Multi-task framework for Knowledge Graph Completion—0
DSparsE: Dynamic Sparse Embedding for Knowledge Graph Completion—0
Edge-Enabled Anomaly Detection and Information Completion for Social Network Knowledge Graphs—0
Efficient Learning on Large Graphs using a Densifying Regularity Lemma—0
Efficient Relational Context Perception for Knowledge Graph Completion—0
Embedding Knowledge Graphs Based on Transitivity and Antisymmetry of Rules—0
Empowering Small-Scale Knowledge Graphs: A Strategy of Leveraging General-Purpose Knowledge Graphs for Enriched Embeddings—0
ECOLA: Enhanced Temporal Knowledge Embeddings with Contextualized Language Representations—0
Enhancing Embedding Representations of Biomedical Data using Logic Knowledge—0
Representing Hierarchical Structure by Using Cone Embedding—0
Enhancing Knowledge Graph Completion with Entity Neighborhood and Relation Context—0
Enhancing Knowledge Graph Completion with GNN Distillation and Probabilistic Interaction Modeling—0
EntailE: Introducing Textual Entailment in Commonsense Knowledge Graph Completion—0
Explainable GNN-Based Models over Knowledge Graphs—0
Explainable Sparse Knowledge Graph Completion via High-order Graph Reasoning Network—0
GS-KGC: A Generative Subgraph-based Framework for Knowledge Graph Completion with Large Language Models—0
Exploring Effects of Random Walk Based Minibatch Selection Policy on Knowledge Graph Completion—0
Exploring & Exploiting High-Order Graph Structure for Sparse Knowledge Graph Completion—0
Extracting Conceptual Knowledge from Natural Language Text Using Maximum Likelihood Principle—0
Extracting Novel Facts from Tables for Knowledge Graph Completion (Extended version)—0
Farspredict: A benchmark dataset for link prediction—0
Fast Knowledge Graph Completion using Graphics Processing Units—0
Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization—0
FedMKGC: Privacy-Preserving Federated Multilingual Knowledge Graph Completion—0
Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information—0
Few-Shot Knowledge Graph Completion with Data Fusion and Augmentation—0
FFHR: Fully and Flexible Hyperbolic Representation for Knowledge Graph Completion—0
From Latent to Lucid: Transforming Knowledge Graph Embeddings into Interpretable Structures with KGEPrisma—0
From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group)—0
Geometric Algebra based Embeddings for Static and Temporal Knowledge Graph Completion—0
Geometric Relational Embeddings: A Survey—0
GLTW: Joint Improved Graph Transformer and LLM via Three-Word Language for Knowledge Graph Completion—0
Graph Pattern Entity Ranking Model for Knowledge Graph Completion—0
Harmonizing Human Insights and AI Precision: Hand in Hand for Advancing Knowledge Graph Task—0
HDReason: Algorithm-Hardware Codesign for Hyperdimensional Knowledge Graph Reasoning—0
Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion—0
History Repeats: Overcoming Catastrophic Forgetting For Event-Centric Temporal Knowledge Graph Completion—0
Show:102550
← PrevPage 7 of 10Next →
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