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 25012525 of 2974 papers

TitleStatusHype
Entity Profiling in Knowledge Graphs0
An Evaluation of Knowledge Graph Embeddings for Autonomous Driving Data: Experience and Practice0
The Knowledge Graph Track at OAEI -- Gold Standards, Baselines, and the Golden Hammer Bias0
FONDUE: A Framework for Node Disambiguation Using Network Embeddings0
Learning Dynamic Belief Graphs to Generalize on Text-Based GamesCode1
A Toolkit for Generating Code Knowledge GraphsCode1
Is Aligning Embedding Spaces a Challenging Task? A Study on Heterogeneous Embedding Alignment Methods0
How To Avoid Being Eaten By a Grue: Exploration Strategies for Text-Adventure AgentsCode1
Guiding Graph Embeddings using Path-Ranking Methods for Error Detection innoisy Knowledge Graphs0
Neural Relation Prediction for Simple Question Answering over Knowledge Graph0
On the Ambiguity of Rank-Based Evaluation of Entity Alignment or Link Prediction MethodsCode0
Revisiting Evaluation of Knowledge Base Completion Models0
Query2box: Reasoning over Knowledge Graphs in Vector Space using Box EmbeddingsCode1
Joint Embedding in Named Entity Linking on Sentence Level0
GREG: A Global Level Relation Extraction with Knowledge Graph Embedding0
RDFFrames: Knowledge Graph Access for Machine Learning ToolsCode1
Optimization of Retrieval Algorithms on Large Scale Knowledge Graphs0
Message Passing Query EmbeddingCode1
MRAEA: An Efficient and Robust Entity Alignment Approach for Cross-lingual Knowledge GraphCode1
Knowledge Graph Embedding for Link Prediction: A Comparative AnalysisCode1
A Survey on Knowledge Graphs: Representation, Acquisition and ApplicationsCode2
Pretrained Transformers for Simple Question Answering over Knowledge GraphsCode0
The Tensor Brain: Semantic Decoding for Perception and Memory0
Modeling Global and Local Node Contexts for Text Generation from Knowledge GraphsCode1
The KEEN Universe: An Ecosystem for Knowledge Graph Embeddings with a Focus on Reproducibility and TransferabilityCode2
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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