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 26762700 of 2974 papers

TitleStatusHype
Task-Oriented GNNs Training on Large Knowledge Graphs for Accurate and Efficient ModelingCode0
Lost in Recursion: Mining Rich Event Semantics in Knowledge GraphsCode0
DeepPath: A Reinforcement Learning Method for Knowledge Graph ReasoningCode0
GenIC: An LLM-Based Framework for Instance Completion in Knowledge GraphsCode0
Annotative IndexingCode0
Equivariant Entity-Relationship NetworksCode0
Multi-task Pre-training Language Model for Semantic Network CompletionCode0
Rule Induction in Knowledge Graphs Using Linear ProgrammingCode0
DeepLENS: Deep Learning for Entity SummarizationCode0
M^2ConceptBase: A Fine-Grained Aligned Concept-Centric Multimodal Knowledge BaseCode0
Using Knowledge Graphs to harvest datasets for efficient CLIP model trainingCode0
Generating User-Centred Explanations via Illocutionary Question Answering: From Philosophy to InterfacesCode0
Benchmarking neural embeddings for link prediction in knowledge graphs under semantic and structural changesCode0
MACO: A Modality Adversarial and Contrastive Framework for Modality-missing Multi-modal Knowledge Graph CompletionCode0
Combining Inductive and Deductive Reasoning for Query Answering over Incomplete Knowledge GraphsCode0
MALOnt: An Ontology for Malware Threat IntelligenceCode0
An End-to-End Neighborhood-based Interaction Model for Knowledge-enhanced RecommendationCode0
Generating SROI^- Ontologies via Knowledge Graph Query Embedding LearningCode0
Using Large Language Models for Zero-Shot Natural Language Generation from Knowledge GraphsCode0
Deep Active Alignment of Knowledge Graph Entities and SchemataCode0
Markov Process-Based Graph Convolutional Networks for Entity Classification in Knowledge GraphsCode0
Massively Multilingual Language Models for Cross Lingual Fact Extraction from Low Resource Indian LanguagesCode0
Matching Entities Across Different Knowledge Graphs with Graph EmbeddingsCode0
Decompressing Knowledge Graph Representations for Link PredictionCode0
Relation-Aware Question Answering for Heterogeneous 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