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 29512974 of 2974 papers

TitleStatusHype
Multi-Modal Bayesian Embeddings for Learning Social Knowledge Graphs0
Learning Hybrid Representations to Retrieve Semantically Equivalent Questions0
Compact Lexicon Selection with Spectral Methods0
Sar-graphs: A Linked Linguistic Knowledge Resource Connecting Facts with Language0
Observed versus latent features for knowledge base and text inference0
Knowledge Graph Embedding via Dynamic Mapping MatrixCode0
Semantically Smooth Knowledge Graph Embedding0
Learning to Explain Entity Relationships in Knowledge GraphsCode0
Traversing Knowledge Graphs in Vector SpaceCode0
Learning Better Word Embedding by Asymmetric Low-Rank Projection of Knowledge Graph0
Hinge-Loss Markov Random Fields and Probabilistic Soft Logic0
Learning Knowledge Graphs for Question Answering through Conversational Dialog0
Jointly Modeling Inter-Slot Relations by Random Walk on Knowledge Graphs for Unsupervised Spoken Language Understanding0
MixedEmotions: Social Semantic Emotion Analysis for Innovative Multilingual Big Data Analytics Markets0
Leveraging Deep Neural Networks and Knowledge Graphs for Entity Disambiguation0
Formalising Hypothesis Virtues in Knowledge Graphs: A General Theoretical Framework and its Validation in Literature-Based Discovery Experiments0
Transition-based Knowledge Graph Embedding with Relational Mapping Properties0
Tailor knowledge graph for query understanding: linking intent topics by propagation0
Knowledge Graph and Corpus Driven Segmentation and Answer Inference for Telegraphic Entity-seeking Queries0
Knowledge Graph and Text Jointly Embedding0
Proposition Knowledge Graphs0
REFRACTIVE: An Open Source Tool to Extract Knowledge from Syntactic and Semantic Relations0
From Natural Language to RDF Graphs with Pregroups0
Bootstrapping Large-scale Named Entities using URL-Text Hybrid Patterns0
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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