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 2126–2150 of 2974 papers

TitleStatusHype
Zero-Shot Information Extraction to Enhance a Knowledge Graph Describing Silk TextilesCode0
Hyperbolic Hierarchy-Aware Knowledge Graph Embedding for Link Prediction—0
Low Resource Quadratic Forms for Knowledge Graph Embeddings—0
EventKE: Event-Enhanced Knowledge Graph Embedding—0
EARL: Informative Knowledge-Grounded Conversation Generation with Entity-Agnostic Representation LearningCode0
CRFR: Improving Conversational Recommender Systems via Flexible Fragments Reasoning on Knowledge Graphs—0
Knowledge Representation Learning with Contrastive Completion Coding—0
A Semantic Filter Based on Relations for Knowledge Graph Completion—0
EventNarrative: A large-scale Event-centric Dataset for Knowledge Graph-to-Text GenerationCode0
Generating Table Vector Representations—0
APPTeK: Agent-Based Predicate Prediction in Temporal Knowledge Graphs—0
SQALER: Scaling Question Answering by Decoupling Multi-Hop and Logical Reasoning—0
BioIE: Biomedical Information Extraction with Multi-head Attention Enhanced Graph Convolutional Network—0
Creating Knowledge Graphs Subsets using Shape Expressions—0
Knowledge Graph informed Fake News Classification via Heterogeneous Representation EnsemblesCode0
Drug Re-positioning via Text Augmented Knowledge Graph Embeddings—0
Learning First-Order Rules with Relational Path Contrast for Inductive Relation Reasoning—0
Temporal Knowledge Graph Reasoning Triggered by MemoriesCode0
A Survey on State-of-the-art Techniques for Knowledge Graphs Construction and Challenges ahead—0
Rule Induction in Knowledge Graphs Using Linear ProgrammingCode0
Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding—0
ActiveEA: Active Learning for Neural Entity AlignmentCode0
The CaLiGraph Ontology as a Challenge for OWL ReasonersCode0
An Analysis of COVID-19 Knowledge Graph Construction and Applications—0
GNN is a Counter? Revisiting GNN for Question Answering—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