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

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Showing 1–10 of 2974 papers

TitleStatusHype
SMART: Relation-Aware Learning of Geometric Representations for Knowledge Graphs—0
Topic Modeling and Link-Prediction for Material Property Discovery—0
Graph Collaborative Attention Network for Link Prediction in Knowledge GraphsCode0
Context-Driven Knowledge Graph Completion with Semantic-Aware Relational Message Passing—0
Enhancing LLM Tool Use with High-quality Instruction Data from Knowledge Graph—0
Active Inference AI Systems for Scientific Discovery—0
Generating Reliable Adverse event Profiles for Health through Automated Integrated Data (GRAPH-AID): A Semi-Automated Ontology Building Approach—0
KnowML: Improving Generalization of ML-NIDS with Attack Knowledge Graphs—0
Inference Scaled GraphRAG: Improving Multi Hop Question Answering on Knowledge Graphs—0
Beyond Prediction -- Structuring Epistemic Integrity in Artificial Reasoning Systems—0
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All datasetsMARS (Multimodal Analogical Reasoning dataSet)JerichoWorldWikiKG90M-LSCFB15k

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TransE-ConcatTest MRR85.48—Unverified
2ComplEx-ConcatTest MRR0.86—Unverified
3ComplEx-RoBERTaTest MRR0.72—Unverified
4TransE-RoBERTaTest MRR0.63—Unverified