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 12261250 of 2974 papers

TitleStatusHype
Hi-ArG: Exploring the Integration of Hierarchical Argumentation Graphs in Language PretrainingCode0
Hierarchical Blockmodelling for Knowledge GraphsCode0
Multi-task Pre-training Language Model for Semantic Network CompletionCode0
Improving Hyper-Relational Knowledge Graph CompletionCode0
M^2ConceptBase: A Fine-Grained Aligned Concept-Centric Multimodal Knowledge BaseCode0
Focus, Merge, Rank: Improved Question Answering Based on Semi-structured Knowledge BasesCode0
Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs using Confidence-Augmented Reinforcement LearningCode0
Improving Knowledge Graph Embedding Using Simple ConstraintsCode0
Massively Multilingual Language Models for Cross Lingual Fact Extraction from Low Resource Indian LanguagesCode0
Image Captioning for Effective Use of Language Models in Knowledge-Based Visual Question AnsweringCode0
Hierarchical Tree-structured Knowledge Graph For Academic Insight SurveyCode0
Knowledge Hypergraphs: Prediction Beyond Binary RelationsCode0
Firzen: Firing Strict Cold-Start Items with Frozen Heterogeneous and Homogeneous Graphs for RecommendationCode0
I Know the Relationships: Zero-Shot Action Recognition via Two-Stream Graph Convolutional Networks and Knowledge GraphsCode0
i-Align: an interpretable knowledge graph alignment modelCode0
HyTE: Hyperplane-based Temporally aware Knowledge Graph EmbeddingCode0
A Study on Knowledge Graph Embeddings and Graph Neural Networks for Web Of ThingsCode0
Hypernetwork Knowledge Graph EmbeddingsCode0
Identify, Align, and Integrate: Matching Knowledge Graphs to Commonsense Reasoning TasksCode0
Aligning Knowledge Graphs Provided by Humans and Generated from Neural Networks in Specific TasksCode0
Finding Streams in Knowledge Graphs to Support Fact CheckingCode0
Finding Paths for Explainable MOOC Recommendation: A Learner PerspectiveCode0
Hyperbolic Hierarchical Knowledge Graph Embeddings for Link Prediction in Low DimensionsCode0
Identifying and Explaining Discriminative AttributesCode0
Finding Motifs in Knowledge Graphs using CompressionCode0
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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