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 2501–2525 of 2974 papers

TitleStatusHype
Efficient and Scalable Neural Symbolic Search for Knowledge Graph Complex Query Answering—0
DREIFLUSS: A Minimalist Approach for Table Matching—0
An Inference Approach To Question Answering Over Knowledge Graphs—0
DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for Temporal Knowledge Graph Reasoning—0
Efficient Knowledge Graph Validation via Cross-Graph Representation Learning—0
Efficient Knowledge Infusion via KG-LLM Alignment—0
Efficiently Embedding Dynamic Knowledge Graphs—0
Efficient Parallel Multi-Hop Reasoning: A Scalable Approach for Knowledge Graph Analysis—0
SE-GNN: Seed Expanded-Aware Graph Neural Network with Iterative Optimization for Semi-supervised Entity Alignment—0
Efficient Relational Context Perception for Knowledge Graph Completion—0
SEG:Seeds-Enhanced Iterative Refinement Graph Neural Network for Entity Alignment—0
Domain-Transferable Method for Named Entity Recognition Task—0
An evaluation of template and ML-based generation of user-readable text from a knowledge graph—0
Efficient support ticket resolution using Knowledge Graphs—0
Efficient Training and Inference of Hypergraph Reasoning Networks—0
EffiQA: Efficient Question-Answering with Strategic Multi-Model Collaboration on Knowledge Graphs—0
EICopilot: Search and Explore Enterprise Information over Large-scale Knowledge Graphs with LLM-driven Agents—0
An Evaluation of Knowledge Graph Embeddings for Autonomous Driving Data: Experience and Practice—0
Self-Improvement Programming for Temporal Knowledge Graph Question Answering—0
ELiRF-UPV at SemEval-2018 Task 10: Capturing Discriminative Attributes with Knowledge Graphs and Wikipedia—0
A Neuro-Symbolic Framework for Answering Graph Pattern Queries in Knowledge Graphs—0
SelfPrompt: Autonomously Evaluating LLM Robustness via Domain-Constrained Knowledge Guidelines and Refined Adversarial Prompts—0
Embedding Knowledge Graphs Based on Transitivity and Antisymmetry of Rules—0
Embedding Knowledge Graphs in Degenerate Clifford Algebras—0
Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization—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