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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1626–1650 of 2974 papers

TitleStatusHype
Neural Probabilistic Logic Learning for Knowledge Graph Reasoning—0
Neural Relation Prediction for Simple Question Answering over Knowledge Graph—0
Neural-Symbolic Commonsense Reasoner with Relation Predictors—0
Neural-Symbolic Entangled Framework for Complex Query Answering—0
Neural-Symbolic Message Passing with Dynamic Pruning—0
Neural, Symbolic and Neural-Symbolic Reasoning on Knowledge Graphs—0
Neural-Symbolic Reasoning over Knowledge Graph for Multi-stage Explainable Recommendation—0
Neural-Symbolic Reasoning over Knowledge Graphs: A Survey from a Query Perspective—0
Neural-Symbolic Relational Reasoning on Graph Models: Effective Link Inference and Computation from Knowledge Bases—0
Neural Theorem Provers Delineating Search Area Using RNN—0
Neural Variational Inference For Embedding Knowledge Graphs—0
Neurosymbolic AI for Reasoning on Biomedical Knowledge Graphs—0
Neurosymbolic AI for Reasoning over Knowledge Graphs: A Survey—0
Neuro-Symbolic Entity Alignment via Variational Inference—0
Neurosymbolic Methods for Dynamic Knowledge Graphs—0
Neuro-Symbolic Ontology-Mediated Query Answering—0
Neuro-Symbolic Query Optimization in Knowledge Graphs—0
NeuSTIP: A Novel Neuro-Symbolic Model for Link and Time Prediction in Temporal Knowledge Graphs—0
NewsReader at SemEval-2018 Task 5: Counting events by reasoning over event-centric-knowledge-graphs—0
NLP in Human Rights Research: Extracting Knowledge Graphs about Police and Army Units and Their Commanders—0
Node Classification Meets Link Prediction on Knowledge Graphs—0
Node Embeddings for Graph Merging: Case of Knowledge Graph Construction—0
NoiGAN: NOISE AWARE KNOWLEDGE GRAPH EMBEDDING WITH GAN—0
Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph Reasoning—0
Not all Embeddings are created Equal: Extracting Entity-specific Substructures for RDF Graph Embedding—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