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 1726–1750 of 2974 papers

TitleStatusHype
Learning Representation over Dynamic Graph using Aggregation-Diffusion Mechanism—0
ClaimPKG: Enhancing Claim Verification via Pseudo-Subgraph Generation with Lightweight Specialized LLM—0
Learning Representations for Reasoning: Generalizing Across Diverse Structures—0
CL4KGE: A Curriculum Learning Method for Knowledge Graph Embedding—0
Learning Representations of Entities and Relations—0
CKG: Dynamic Representation Based on Context and Knowledge Graph—0
Rank, Chunk and Expand: Lineage-Oriented Reasoning for Taxonomy Expansion—0
Text-To-KG Alignment: Comparing Current Methods on Classification Tasks—0
Learning semantic Image attributes using Image recognition and knowledge graph embeddings—0
Veni, Vidi, Vici: Solving the Myriad of Challenges before Knowledge Graph Learning—0
Learning Structured Embeddings of Knowledge Graphs with Adversarial Learning Framework—0
Learning the Semantics of Structured Data Sources—0
ChronoR: Rotation Based Temporal Knowledge Graph Embedding—0
Learning to Borrow– Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph Completion—0
AGENTiGraph: An Interactive Knowledge Graph Platform for LLM-based Chatbots Utilizing Private Data—0
T-GAP: Learning to Walk across Time for Temporal Knowledge Graph Completion—0
Agentic Publications: An LLM-Driven Framework for Interactive Scientific Publishing, Supplementing Traditional Papers with AI-Powered Knowledge Systems—0
VerifAI: Verified Generative AI—0
Learning to Discover Medicines—0
A Framework for Leveraging Human Computation Gaming to Enhance Knowledge Graphs for Accuracy Critical Generative AI Applications—0
The ContrastMedium Algorithm: Taxonomy Induction From Noisy Knowledge Graphs With Just A Few Links—0
Chinese Hypernym-Hyponym Extraction from User Generated Categories—0
The Contribution of Knowledge in Visiolinguistic Learning: A Survey on Tasks and Challenges—0
Learning to refine domain knowledge for biological network inference—0
Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs—0
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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