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

Showing 14011425 of 2974 papers

TitleStatusHype
Is it a Fruit, an Apple or a Granny Smith? Predicting the Basic Level in a Concept Hierarchy0
Is Knowledge Embedding Fully Exploited in Language Understanding? An Empirical Study0
Great~Truths~are ~Always ~Simple: A Rather Simple Knowledge Encoder for Enhancing the Commonsense Reasoning Capacity of Pre-Trained Models0
iTelos -- Purpose Driven Knowledge Graph Generation0
Large Language Models Can Better Understand Knowledge Graphs Than We Thought0
Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning0
KGV: Integrating Large Language Models with Knowledge Graphs for Cyber Threat Intelligence Credibility Assessment0
IterefinE: Iterative KG Refinement Embeddings using Symbolic Knowledge0
GreaseLM: Graph REASoning Enhanced Language Models0
It's the Same Old Story! Enriching Event-Centric Knowledge Graphs by Narrative Aspects0
iWarded: A System for Benchmarking Datalog+/- Reasoning (technical report)0
JAKET: Joint Pre-training of Knowledge Graph and Language Understanding0
JEL: Applying End-to-End Neural Entity Linking in JPMorgan Chase0
Joint Detection and Coreference Resolution of Entities and Events with Document-level Context Aggregation0
Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-lingual Entity Alignment0
GREASE: A Generative Model for Relevance Search over Knowledge Graphs0
GRAPHYP: A Scientific Knowledge Graph with Manifold Subnetworks of Communities. Detection of Scholarly Disputes in Adversarial Information Routes0
CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models0
Discovering Technology Gaps using the IntSight Knowledge Navigator0
A Two-Stage Approach towards Generalization in Knowledge Base Question Answering0
JointLK: Joint Reasoning with Language Models and Knowledge Graphs for Commonsense Question Answering0
Jointly Embedding Knowledge Graphs and Logical Rules0
COTET: Cross-view Optimal Transport for Knowledge Graph Entity Typing0
Jointly Extracting Explicit and Implicit Relational Triples with Reasoning Pattern Enhanced Binary Pointer Network0
Graph vs. Sequence: An Empirical Study on Knowledge Forms for Knowledge-Grounded Dialogue0
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Benchmark Results

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