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 801825 of 2974 papers

TitleStatusHype
Distance-Based Propagation for Efficient Knowledge Graph ReasoningCode0
Distance-aware Molecule Graph Attention Network for Drug-Target Binding Affinity PredictionCode0
A Physical Embedding Model for Knowledge GraphsCode0
KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document UnderstandingCode0
Jointly Learning Explainable Rules for Recommendation with Knowledge GraphCode0
Building Dynamic Knowledge Graphs from Text-based GamesCode0
Jointly Learning Propagating Features on the Knowledge Graph for Movie RecommendationCode0
Jointly Learning Entity and Relation Representations for Entity AlignmentCode0
KAMEL : Knowledge Analysis with Multitoken Entities in Language ModelsCode0
Discriminative Predicate Path Mining for Fact Checking in Knowledge GraphsCode0
Iteratively Learning Representations for Unseen Entities with Inter-Rule CorrelationsCode0
Joint Language Semantic and Structure Embedding for Knowledge Graph CompletionCode0
Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context GranularityCode0
ELDEN: Improved Entity Linking Using Densified Knowledge GraphsCode0
IRT2: Inductive Linking and Ranking in Knowledge Graphs of Varying ScaleCode0
EL Embeddings: Geometric construction of models for the Description Logic EL ++Code0
Embedding-Based Entity Alignment Using Relation Structural SimilarityCode0
Embedding Knowledge Graphs Attentive to Positional and Centrality QualitiesCode0
Learning Sequence Encoders for Temporal Knowledge Graph CompletionCode0
Discovering emergent connections in quantum physics research via dynamic word embeddingsCode0
Online Detection of Anomalies in Temporal Knowledge Graphs with InterpretabilityCode0
Interpretable Multi-hop Reasoning for Forecasting Future Links on Temporal Knowledge GraphsCode0
Iterative Entity Alignment via Joint Knowledge EmbeddingsCode0
Applying BioBERT to Extract Germline Gene-Disease Associations for Building a Knowledge Graph from the Biomedical LiteratureCode0
Combining Inductive and Deductive Reasoning for Query Answering over Incomplete Knowledge GraphsCode0
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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