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 2651–2675 of 2974 papers

TitleStatusHype
LLM Inference Enhanced by External Knowledge: A SurveyCode0
A Pattern to Align Them All: Integrating Different Modalities to Define Multi-Modal EntitiesCode0
Tackling Graphical NLP problems with Graph Recurrent NetworksCode0
Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph CompletionCode0
DEKGCI: A double-sided recommendation model for integrating knowledge graph and user-item interaction graphCode0
GraDA: Graph Generative Data Augmentation for Commonsense ReasoningCode0
Reinforcement Knowledge Graph Reasoning for Explainable RecommendationCode0
Tackling scalability issues in mining path patterns from knowledge graphs: a preliminary studyCode0
Reinforcement Learning based Collective Entity Alignment with Adaptive FeaturesCode0
Adapting Multilingual LLMs to Low-Resource Languages with Knowledge Graphs via AdaptersCode0
Degree-Aware Alignment for Entities in TailCode0
Gold: A Global and Local-aware Denoising Framework for Commonsense Knowledge Graph Noise DetectionCode0
GNN2R: Weakly-Supervised Rationale-Providing Question Answering over Knowledge GraphsCode0
Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based GamesCode0
Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph EmbeddingCode0
A Comparative Analysis of Conversational Large Language Models in Knowledge-Based Text GenerationCode0
Geolocation of Cultural Heritage using Multi-View Knowledge Graph EmbeddingCode0
Bridging Information Gaps in Dialogues With Grounded Exchanges Using Knowledge GraphsCode0
Relational Concept Bottleneck ModelsCode0
Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge GraphsCode0
LogicRec: Recommendation with Users' Logical RequirementsCode0
LoginMEA: Local-to-Global Interaction Network for Multi-modal Entity AlignmentCode0
Relational Graph Convolutional Networks Do Not Learn Sound RulesCode0
A survey of embedding models of entities and relationships for knowledge graph completionCode0
Look before you Hop: Conversational Question Answering over Knowledge Graphs Using Judicious Context ExpansionCode0
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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