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 11511175 of 2974 papers

TitleStatusHype
ActiveEA: Active Learning for Neural Entity AlignmentCode0
From Philosophy to Interfaces: an Explanatory Method and a Tool Inspired by Achinstein's Theory of ExplanationCode0
Incorporating Domain Knowledge into Medical NLI using Knowledge GraphsCode0
Incorporating Literals into Knowledge Graph EmbeddingsCode0
Conversational Semantic Parsing using Dynamic Context GraphsCode0
Cycle Representation Learning for Inductive Relation PredictionCode0
Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge GraphsCode0
Graph Collaborative Attention Network for Link Prediction in Knowledge GraphsCode0
Improving Knowledge Graph Embedding Using Simple ConstraintsCode0
Improving Multi-hop Logical Reasoning in Knowledge Graphs with Context-Aware Query Representation LearningCode0
From Multilingual Complexity to Emotional Clarity: Leveraging Commonsense to Unveil Emotions in Code-Mixed DialoguesCode0
Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs using Confidence-Augmented Reinforcement LearningCode0
Alleviating Sparsity of Open Knowledge Graphs with Ternary Contrastive LearningCode0
Improving Hyper-Relational Knowledge Graph CompletionCode0
Knowledge Graph Embeddings in the Biomedical Domain: Are They Useful? A Look at Link Prediction, Rule Learning, and Downstream Polypharmacy TasksCode0
Improving rule mining via embedding-based link predictionCode0
Adapting Multilingual LLMs to Low-Resource Languages with Knowledge Graphs via AdaptersCode0
Identifying and Explaining Discriminative AttributesCode0
Identifying relevant common sense information in knowledge graphsCode0
From Data to Dialogue: Leveraging the Structure of Knowledge Graphs for Conversational Exploratory SearchCode0
Identify, Align, and Integrate: Matching Knowledge Graphs to Commonsense Reasoning TasksCode0
I Know the Relationships: Zero-Shot Action Recognition via Two-Stream Graph Convolutional Networks and Knowledge GraphsCode0
Content based News Recommendation via Shortest Entity Distance over Knowledge GraphsCode0
Connector 0.5: A unified framework for graph representation learningCode0
HyTE: Hyperplane-based Temporally aware Knowledge Graph EmbeddingCode0
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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