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

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Showing 1401–1450 of 2974 papers

TitleStatusHype
FiTs: Fine-grained Two-stage Training for Knowledge-aware Question AnsweringCode1
Construction of Knowledge Graphs: State and Challenges—0
Dual Policy Learning for Aggregation Optimization in Graph Neural Network-based Recommender SystemsCode0
Vision, Deduction and Alignment: An Empirical Study on Multi-modal Knowledge Graph Alignment—0
Creating Knowledge Graphs for Geographic Data on the WebCode0
Revisiting Initializing Then Refining: An Incomplete and Missing Graph Imputation Network—0
Effects of Locality and Rule Language on Explanations for Knowledge Graph Embeddings—0
Large-Scale Knowledge Synthesis and Complex Information Retrieval from Biomedical Documents—0
Neurosymbolic AI for Reasoning over Knowledge Graphs: A Survey—0
Differentiable Outlier Detection Enable Robust Deep Multimodal AnalysisCode0
Meta-Learning Based Knowledge Extrapolation for Temporal Knowledge Graph—0
Adversarial Transformer Language Models for Contextual Commonsense Inference—0
A Comprehensive Survey on Automatic Knowledge Graph Construction—0
Toward Degree Bias in Embedding-Based Knowledge Graph CompletionCode1
Massively Multilingual Language Models for Cross Lingual Fact Extraction from Low Resource Indian LanguagesCode0
ChatGPT versus Traditional Question Answering for Knowledge Graphs: Current Status and Future Directions Towards Knowledge Graph Chatbots—0
Learning Representations of Bi-level Knowledge Graphs for Reasoning beyond Link PredictionCode1
A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge GraphsCode1
FGSI: Distant Supervision for Relation Extraction method based on Fine-Grained Semantic Information—0
Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph EmbeddingCode1
Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs—0
MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning—0
Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation TypesCode0
Unsupervised Entity Alignment for Temporal Knowledge GraphsCode1
KG-Hub -- Building and Exchanging Biological Knowledge Graphs—0
Large Language Models for Biomedical Knowledge Graph Construction: Information extraction from EMR notes—0
Adapting Neural Link Predictors for Data-Efficient Complex Query Answering—0
Semantic Parsing for Conversational Question Answering over Knowledge GraphsCode1
Dual Box Embeddings for the Description Logic EL++Code0
Towards Knowledge-Centric Process Mining—0
Task2KB: A Public Task-Oriented Knowledge Base—0
Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms—0
IndeGx: A Model and a Framework for Indexing RDF Knowledge Graphs with SPARQL-based Test SuitsCode0
Logical Message Passing Networks with One-hop Inference on Atomic FormulasCode1
Who Should I Engage with At What Time? A Missing Event Aware Temporal Graph Neural NetworkCode0
causalgraph: A Python Package for Modeling, Persisting and Visualizing Causal Graphs Embedded in Knowledge GraphsCode1
Introducing Expertise Logic into Graph Representation Learning from A Causal Perspective—0
Towards Improving the Explainability of Text-based Information Retrieval with Knowledge GraphsCode0
TikTalk: A Video-Based Dialogue Dataset for Multi-Modal Chitchat in Real WorldCode1
Sem@K: Is my knowledge graph embedding model semantic-aware?Code1
Modeling the evolution of temporal knowledge graphs with uncertainty—0
Language Models sounds the Death Knell of Knowledge Graphs—0
There is No Big Brother or Small Brother: Knowledge Infusion in Language Models for Link Prediction and Question AnsweringCode0
SCENE: Reasoning about Traffic Scenes using Heterogeneous Graph Neural NetworksCode1
Knowledge Reasoning via Jointly Modeling Knowledge Graphs and Soft Rules—0
Multi-Aspect Explainable Inductive Relation Prediction by Sentence TransformerCode0
Analogical Inference Enhanced Knowledge Graph EmbeddingCode1
A Survey On Few-shot Knowledge Graph Completion with Structural and Commonsense Knowledge—0
IRT2: Inductive Linking and Ranking in Knowledge Graphs of Varying ScaleCode0
SGAligner: 3D Scene Alignment with Scene Graphs—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