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 2701–2750 of 2974 papers

TitleStatusHype
Discovering Knowledge Graph Schema from Short Natural Language Text via Dialog—0
SGAligner: 3D Scene Alignment with Scene Graphs—0
Fact or Guesswork? Evaluating Large Language Model's Medical Knowledge with Structured One-Hop Judgment—0
FactSelfCheck: Fact-Level Black-Box Hallucination Detection for LLMs—0
Fact-Tree Reasoning for N-ary Question Answering over Knowledge Graphs—0
Fair comparison of knowledge graphs for question answering—0
Fairness-Aware Explainable Recommendation over Knowledge Graphs—0
Towards Faithful Knowledge Graph Explanation Through Deep Alignment in Commonsense Question Answering—0
Discovering Implicational Knowledge in Wikidata—0
Faithful Path Language Modeling for Explainable Recommendation over Knowledge Graph—0
Unsupervised Fact Checking by Counter-Weighted Positive and Negative Evidential Paths in A Knowledge Graph—0
FAQ-based Question Answering via Knowledge Anchors—0
SignalKG: Towards Reasoning about the Underlying Causes of Sensor Observations—0
Discovering Fine-Grained Semantics in Knowledge Graph Relations—0
Fast-and-Frugal Text-Graph Transformers are Effective Link Predictors—0
Fast Knowledge Graph Completion using Graphics Processing Units—0
Unsupervised Hierarchical Grouping of Knowledge Graph Entities—0
Feature Learning for Meta-Paths in Knowledge Graphs—0
Discover Important Paths in the Knowledge Graph Based on Dynamic Relation Confidence—0
Federated Neural Graph Databases—0
Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization—0
Direct Fact Retrieval from Knowledge Graphs without Entity Linking—0
Federated Knowledge Graph Unlearning via Diffusion Model—0
FedMKGC: Privacy-Preserving Federated Multilingual Knowledge Graph Completion—0
FeedLens: Polymorphic Lenses for Personalizing Exploratory Search over Knowledge Graphs—0
Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information—0
SimBow at SemEval-2017 Task 3: Soft-Cosine Semantic Similarity between Questions for Community Question Answering—0
Few-Shot Knowledge Graph Completion with Data Fusion and Augmentation—0
An Ecosystem for Personal Knowledge Graphs: A Survey and Research Roadmap—0
Few-shot Link Prediction on N-ary Facts—0
FGSI: Distant Supervision for Relation Extraction method based on Fine-Grained Semantic Information—0
FiDeLiS: Faithful Reasoning in Large Language Model for Knowledge Graph Question Answering—0
Filling a Knowledge Graph with a Crowd—0
Unsupervised multiple choices question answering via universal corpus—0
An Automatic Ontology Generation Framework with An Organizational Perspective—0
An Answer Verbalization Dataset for Conversational Question Answerings over Knowledge Graphs—0
Directed Scattering for Knowledge Graph-based Cellular Signaling Analysis—0
Fine-grained graph representation learning for heterogeneous mobile networks with attentive fusion and contrastive learning—0
Fine-tuning and Prompt Engineering with Cognitive Knowledge Graphs for Scholarly Knowledge Organization—0
Fine-tuning Large Enterprise Language Models via Ontological Reasoning—0
FinMatcher at FinSim-2: Hypernym Detection in the Financial Services Domain using Knowledge Graphs—0
First Workshop on Argumentation Knowledge Graphs—0
Why should I not follow you? Reasons For and Reasons Against in Responsible Recommender Systems—0
Fish-bone diagram of research issue: Gain a bird's-eye view on a specific research topic—0
Digital Twins for Patient Care via Knowledge Graphs and Closed-Form Continuous-Time Liquid Neural Networks—0
Structured Knowledge Grounding for Question Answering—0
Flurry: a Fast Framework for Reproducible Multi-layered Provenance Graph Representation Learning—0
Simple and Powerful Architecture for Inductive Recommendation Using Knowledge Graph Convolutions—0
FOKE: A Personalized and Explainable Education Framework Integrating Foundation Models, Knowledge Graphs, and Prompt Engineering—0
FONDUE: A Framework for Node Disambiguation Using Network Embeddings—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