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 9761000 of 2974 papers

TitleStatusHype
Attr-Int: A Simple and Effective Entity Alignment Framework for Heterogeneous Knowledge Graphs0
Large Language Models as a Tool for Mining Object Knowledge0
Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs0
Pyramid-Driven Alignment: Pyramid Principle Guided Integration of Large Language Models and Knowledge Graphs0
Privacy-Preserving Synthetically Augmented Knowledge Graphs with Semantic Utility0
Is Complex Query Answering Really Complex?0
Learning Representations for Reasoning: Generalizing Across Diverse Structures0
Knowledge Graph Embeddings: A Comprehensive Survey on Capturing Relation Properties0
Comprehending Knowledge Graphs with Large Language Models for Recommender Systems0
AGENTiGraph: An Interactive Knowledge Graph Platform for LLM-based Chatbots Utilizing Private Data0
Y-Mol: A Multiscale Biomedical Knowledge-Guided Large Language Model for Drug Development0
SpeGCL: Self-supervised Graph Spectrum Contrastive Learning without Positive Samples0
Unified Representation of Genomic and Biomedical Concepts through Multi-Task, Multi-Source Contrastive Learning0
LINKED: Eliciting, Filtering and Integrating Knowledge in Large Language Model for Commonsense ReasoningCode0
TIGER: Temporally Improved Graph Entity LinkerCode0
Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective0
GIVE: Structured Reasoning with Knowledge Graph Inspired Veracity Extrapolation0
ReasonPlanner: Enhancing Autonomous Planning in Dynamic Environments with Temporal Knowledge Graphs and LLMs0
Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge GraphsCode0
Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study over Open-ended Question Answering0
Diversified and Adaptive Negative Sampling on Knowledge Graphs0
Disease Entity Recognition and Normalization is Improved with Large Language Model Derived Synthetic Normalized Mentions0
The Effects of Hallucinations in Synthetic Training Data for Relation Extraction0
When and Where Did it Happen? An Encoder-Decoder Model to Identify Scenario ContextCode0
Firzen: Firing Strict Cold-Start Items with Frozen Heterogeneous and Homogeneous Graphs for RecommendationCode0
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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