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 12511275 of 2974 papers

TitleStatusHype
Joint Pre-training and Local Re-training: Transferable Representation Learning on Multi-source Knowledge GraphsCode0
What Makes Entities Similar? A Similarity Flooding Perspective for Multi-sourced Knowledge Graph EmbeddingsCode0
A Study of Situational Reasoning for Traffic UnderstandingCode1
Shrinking Embeddings for Hyper-Relational Knowledge GraphsCode0
Bi-level Contrastive Learning for Knowledge-Enhanced Molecule Representations0
Knowledge Graph Reasoning over Entities and Numerical ValuesCode1
InGram: Inductive Knowledge Graph Embedding via Relation GraphsCode1
Knowledge Graph Embeddings in the Biomedical Domain: Are They Useful? A Look at Link Prediction, Rule Learning, and Downstream Polypharmacy TasksCode0
Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical ConstraintsCode1
Graph Reasoning for Question Answering with Triplet Retrieval0
Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation0
Epistemic Graph: A Plug-And-Play Module For Hybrid Representation Learning0
Representation Learning on Hyper-Relational and Numeric Knowledge Graphs with TransformersCode1
MemeGraphs: Linking Memes to Knowledge GraphsCode0
Choose your Data Wisely: A Framework for Semantic CounterfactualsCode0
A Categorical Representation Language and Computational System for Knowledge-Based Planning0
Collective Knowledge Graph Completion with Mutual Knowledge Distillation0
BUCA: A Binary Classification Approach to Unsupervised Commonsense Question AnsweringCode0
A RelEntLess Benchmark for Modelling Graded Relations between Named Entities0
Knowledge Graphs Querying0
Fine-tuned LLMs Know More, Hallucinate Less with Few-Shot Sequence-to-Sequence Semantic Parsing over WikidataCode1
Query Structure Modeling for Inductive Logical Reasoning Over Knowledge GraphsCode0
Conversational Recommendation as Retrieval: A Simple, Strong Baseline0
Message Intercommunication for Inductive Relation Reasoning0
Logical Entity Representation in Knowledge-Graphs for Differentiable Rule LearningCode1
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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