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
Aligning Knowledge Graphs Provided by Humans and Generated from Neural Networks in Specific TasksCode0
How to make latent factors interpretable by feeding Factorization machines with knowledge graphsCode0
Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs using Confidence-Augmented Reinforcement LearningCode0
Finding Streams in Knowledge Graphs to Support Fact CheckingCode0
Finding Paths for Explainable MOOC Recommendation: A Learner PerspectiveCode0
Hybrid Context Retrieval Augmented Generation Pipeline: LLM-Augmented Knowledge Graphs and Vector Database for Accreditation Reporting AssistanceCode0
Improving Hyper-Relational Knowledge Graph CompletionCode0
HybridFC: A Hybrid Fact-Checking Approach for Knowledge GraphsCode0
Improving rule mining via embedding-based link predictionCode0
Finding Motifs in Knowledge Graphs using CompressionCode0
Compositional Generalization with Grounded Language ModelsCode0
I Know the Relationships: Zero-Shot Action Recognition via Two-Stream Graph Convolutional Networks and Knowledge GraphsCode0
Image Captioning for Effective Use of Language Models in Knowledge-Based Visual Question AnsweringCode0
Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge GraphCode0
Few-shot Knowledge Graph Relational Reasoning via Subgraph AdaptationCode0
Identifying and Explaining Discriminative AttributesCode0
Few-Shot Knowledge Graph CompletionCode0
Identify, Align, and Integrate: Matching Knowledge Graphs to Commonsense Reasoning TasksCode0
Identifying relevant common sense information in knowledge graphsCode0
Improving the Robustness of Knowledge-Grounded Dialogue via Contrastive LearningCode0
MWO2KG and Echidna: Constructing and exploring knowledge graphs from maintenance dataCode0
Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information0
FeedLens: Polymorphic Lenses for Personalizing Exploratory Search over Knowledge Graphs0
FedMKGC: Privacy-Preserving Federated Multilingual Knowledge Graph Completion0
Federated Knowledge Graph Unlearning via Diffusion Model0
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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