SOTAVerified

Knowledge Graphs

A knowledge graph is a structured representation of information that organizes data into nodes (entities) and edges (relationships) to show how different pieces of knowledge are interconnected. It enables enhanced data integration, search, and inference by modeling the relationships between concepts and entities in a graph format.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1876–1900 of 2974 papers

TitleStatusHype
Enhancing Multilingual Language Model with Massive Multilingual Knowledge TriplesCode1
Explainable Biomedical Recommendations via Reinforcement Learning Reasoning on Knowledge Graphs—0
Explaining GNN over Evolving Graphs using Information Flow—0
Detecting Cross-Language Plagiarism using Open Knowledge GraphsCode0
QubitE: Qubit Embedding for Knowledge Graph CompletionCode0
ICLEA: Interactive Contrastive Learning for Self-supervised Entity Alignment—0
Fair comparison of knowledge graphs for question answering—0
Language Model-Guided Knowledge Subgraphs for Question Answering—0
An Empirical Investigation of Commonsense Self-Supervision with Knowledge Graphs—0
Learning from Missing Relations: Contrastive Learning with Commonsense Knowledge Graphs for Commonsense Inference—0
Distilling Causal Metaknowledge from Massive Knowledge Graph—0
Knowledge Enhanced Embedding: Improve Model Generalization Through Knowledge Graphs—0
On the Use of Entity Embeddings from Pre-Trained Language Models for Knowledge Graph Completion—0
Few-Shot Knowledge Graph Completion with Data Fusion and Augmentation—0
Alleviating the Sparsity of Open Knowledge Graphs with Pretrained Contrastive Learning—0
Neural Class Expression SynthesisCode0
AutoGMap: Learning to Map Large-scale Sparse Graphs on Memristive CrossbarsCode0
Poisoning Knowledge Graph Embeddings via Relation Inference PatternsCode1
Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learning—0
A Two-Stage Approach towards Generalization in Knowledge Base Question Answering—0
EvoLearner: Learning Description Logics with Evolutionary AlgorithmsCode0
A Probit Tensor Factorization Model For Relational Learning—0
Conditional Attention Networks for Distilling Knowledge Graphs in Recommendation—0
Order Matters: Matching Multiple Knowledge Graphs—0
Zero-Shot Information Extraction to Enhance a Knowledge Graph Describing Silk TextilesCode0
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All datasetsMARS (Multimodal Analogical Reasoning dataSet)JerichoWorldWikiKG90M-LSCFB15k

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MarT_MKGformerMRR0.34—Unverified
2MKGformerMRR0.32—Unverified
3MarT_FLAVAMRR0.29—Unverified
4ViLBERTMRR0.29—Unverified
5IKRL (ANALOGY)MRR0.28—Unverified
6IKRLMRR0.27—Unverified
7ViLTMRR0.26—Unverified
8TransAEMRR0.22—Unverified
#ModelMetricClaimedVerifiedStatus
1WorldformerSet accuracy39.15—Unverified
2Q*BERTSet accuracy32.78—Unverified
3GATA-WSet accuracy24.06—Unverified
4WorldformerSet accuracy23.22—Unverified
5Seq2SeqSet accuracy14.29—Unverified
6RulesSet accuracy4.7—Unverified
#ModelMetricClaimedVerifiedStatus
1TransE-ConcatTest MRR85.48—Unverified
2ComplEx-ConcatTest MRR0.86—Unverified
3ComplEx-RoBERTaTest MRR0.72—Unverified
4TransE-RoBERTaTest MRR0.63—Unverified
#ModelMetricClaimedVerifiedStatus
1COMPLEXMRR0.59—Unverified