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 1601–1650 of 2974 papers

TitleStatusHype
Company Competition Graph—0
Knowledge Graph Guided Semantic Evaluation of Language Models For User Trust—0
Vehicle Lane Change Prediction based on Knowledge Graph Embeddings and Bayesian Inference—0
Knowledge Graph Large Language Model (KG-LLM) for Link Prediction—0
Knowledge Graph Papers @ ICLR 2021—0
Knowledge Graph Quality Evaluation under Incomplete Information—0
Compact Lexicon Selection with Spectral Methods—0
Knowledge Graph Question Answering for Materials Science (KGQA4MAT): Developing Natural Language Interface for Metal-Organic Frameworks Knowledge Graph (MOF-KG) Using LLM—0
Knowledge Graph Question Answering via SPARQL Silhouette Generation—0
Communication-Efficient Federated Knowledge Graph Embedding with Entity-Wise Top-K Sparsification—0
Commonsense Reasoning with Implicit Knowledge in Natural Language—0
NagE: Non-Abelian Group Embedding for Knowledge Graphs—0
Knowledge Graph Representation for Political Information Sources—0
Knowledge Graph Representations to enhance Intensive Care Time-Series Predictions—0
Knowledge Graph Representation with Jointly Structural and Textual Encoding—0
Combining pre-trained language models and structured knowledge—0
Knowledge Graphs and Knowledge Networks: The Story in Brief—0
Knowledge Graphs and Machine Learning in biased C4I applications—0
Knowledge Graphs and Natural-Language Processing—0
Combining LLMs and Knowledge Graphs to Reduce Hallucinations in Question Answering—0
Knowledge Graphs are all you need: Leveraging KGs in Physics Question Answering—0
Knowledge Graphs are not Created Equal: Exploring the Properties and Structure of Real KGs—0
Knowledge Graphs as Context Sources for LLM-Based Explanations of Learning Recommendations—0
Knowledge Graphs as World Models for Semantic Material-Aware Obstacle Handling in Autonomous Vehicles—0
Knowledge Graphs Construction from Criminal Court Appeals: Insights from the French Cassation Court—0
Knowledge Graphs Evolution and Preservation -- A Technical Report from ISWS 2019—0
Knowledge Graphs for Digitized Manuscripts in Jagiellonian Digital Library Application—0
Temporal Smoothness Regularisers for Neural Link Predictors—0
Knowledge Graphs for Enhancing Large Language Models in Entity Disambiguation—0
Knowledge Graphs for Innovation Ecosystems—0
Knowledge Graphs for Multilingual Language Translation and Generation—0
Knowledge Graphs for the Life Sciences: Recent Developments, Challenges and Opportunities—0
Knowledge Graphs in Manufacturing and Production: A Systematic Literature Review—0
Knowledge Graphs, Large Language Models, and Hallucinations: An NLP Perspective—0
A Graph-to-Text Approach to Knowledge-Grounded Response Generation in Human-Robot Interaction—0
Combining knowledge graphs and LLMs for hazardous chemical information management and reuse—0
Tensor Decompositions for Modeling Inverse Dynamics—0
Knowledge Graphs on the Web -- an Overview—0
Knowledge Graphs: Opportunities and Challenges—0
Knowledge Graphs Querying—0
Knowledge Graphs: The Future of Data Integration and Insightful Discovery—0
Topology-aware Tensor Decomposition for Meta-graph Learning—0
Knowledge Graph Tuning: Real-time Large Language Model Personalization based on Human Feedback—0
TeX-Graph: Coupled tensor-matrix knowledge-graph embedding for COVID-19 drug repurposing—0
Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation—0
Text2Cypher: Bridging Natural Language and Graph Databases—0
Knowledge Infused Learning (K-IL): Towards Deep Incorporation of Knowledge in Deep Learning—0
Combining Knowledge Graphs and Large Language Models—0
Knowledge-Infused Self Attention Transformers—0
Knowledge Management for Automobile Failure Analysis Using Graph RAG—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