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 2001–2025 of 2974 papers

TitleStatusHype
MEKER: Memory Efficient Knowledge Embedding Representation for Link Prediction and Question Answering—0
SpaceE: Knowledge Graph Embedding by Relational Linear Transformation in the Entity Space—0
A Hierarchical N-Gram Framework for Zero-Shot Link PredictionCode0
Knowledgebra: An Algebraic Learning Framework for Knowledge Graph—0
KCD: Knowledge Walks and Textual Cues Enhanced Political Perspective Detection in News MediaCode0
Walk this Way! Entity Walks and Property Walks for RDF2vec—0
The Digitalization of Bioassays in the Open Research Knowledge GraphCode0
WawPart: Workload-Aware Partitioning of Knowledge Graphs—0
AWAPart: Adaptive Workload-Aware Partitioning of Knowledge Graphs—0
Augmenting Knowledge Graphs for Better Link PredictionCode0
Improving Question Answering over Knowledge Graphs Using Graph Summarization—0
Duality-Induced Regularizer for Semantic Matching Knowledge Graph Embeddings—0
BIOS: An Algorithmically Generated Biomedical Knowledge Graph—0
ECOLA: Enhanced Temporal Knowledge Embeddings with Contextualized Language Representations—0
Personal Knowledge Graphs: Use Cases in e-learning Platforms—0
TegTok: Augmenting Text Generation via Task-specific and Open-world KnowledgeCode0
WCL-BBCD: A Contrastive Learning and Knowledge Graph Approach to Named Entity Recognition—0
Neural Theorem Provers Delineating Search Area Using RNN—0
Ensemble Semi-supervised Entity Alignment via Cycle-teachingCode0
LEMON: LanguagE ModeL for Negative Sampling of Knowledge Graph Embeddings—0
ModulE: Module Embedding for Knowledge Graphs—0
Scaling R-GCN Training with Graph Summarization—0
Flurry: a Fast Framework for Reproducible Multi-layered Provenance Graph Representation Learning—0
Pattern Recognition and Event Detection on IoT Data-streams—0
PKGM: A Pre-trained Knowledge Graph Model for E-commerce Application—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