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 26262650 of 2974 papers

TitleStatusHype
Evaluation Dataset and Methodology for Extracting Application-Specific Taxonomies from the Wikipedia Knowledge Graph0
DIVINE: A Generative Adversarial Imitation Learning Framework for Knowledge Graph Reasoning0
Semantics, Ontology and Explanation0
EventKE: Event-Enhanced Knowledge Graph Embedding0
EventKG: A Multilingual Event-Centric Temporal Knowledge Graph0
EventKG - the Hub of Event Knowledge on the Web - and Biographical Timeline Generation0
EventKG+TL: Creating Cross-Lingual Timelines from an Event-Centric Knowledge Graph0
A*Net and NBFNet Learn Negative Patterns on Knowledge Graphs0
Divide by Question, Conquer by Agent: SPLIT-RAG with Question-Driven Graph Partitioning0
Event-QA: A Dataset for Event-Centric Question Answering over Knowledge Graphs0
Every FLOP Counts: Scaling a 300B Mixture-of-Experts LING LLM without Premium GPUs0
Semantic TrueLearn: Using Semantic Knowledge Graphs in Recommendation Systems0
Semantic Web and Creative AI -- A Technical Report from ISWS 20230
Diversifying Knowledge Enhancement of Biomedical Language Models using Adapter Modules and Knowledge Graphs0
Information Flow in Graph Neural Networks: A Clinical Triage Use Case0
ExBERT: An External Knowledge Enhanced BERT for Natural Language Inference0
Diversified and Adaptive Negative Sampling on Knowledge Graphs0
ExKG-LLM: Leveraging Large Language Models for Automated Expansion of Cognitive Neuroscience Knowledge Graphs0
SemEval-2021 Task 8: MeasEval -- Extracting Counts and Measurements and their Related Contexts0
Expanding Holographic Embeddings for Knowledge Completion0
Expanding Knowledge Graphs with Humans in the Loop0
An Entity-centric Approach for Overcoming Knowledge Graph Sparsity0
Semi-Structured Chain-of-Thought: Integrating Multiple Sources of Knowledge for Improved Language Model Reasoning0
Unsupervised Domain Adaptation of Contextual Embeddings for Low-Resource Duplicate Question Detection0
Explainable Biomedical Recommendations via Reinforcement Learning Reasoning on Knowledge Graphs0
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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