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 17761800 of 2974 papers

TitleStatusHype
Time-aware Graph Neural Networks for Entity Alignment between Temporal Knowledge GraphsCode1
R-GCN: The R Could Stand for RandomCode1
An Open Challenge for Inductive Link Prediction on Knowledge GraphsCode1
SelfKG: Self-Supervised Entity Alignment in Knowledge GraphsCode1
PKGM: A Pre-trained Knowledge Graph Model for E-commerce Application0
Pattern Recognition and Event Detection on IoT Data-streams0
Dual Embodied-Symbolic Concept Representations for Deep Learning0
Improving Time Sensitivity for Question Answering over Temporal Knowledge Graphs0
CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge Graph CompletionCode1
NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge GraphsCode2
From Unstructured Text to Causal Knowledge Graphs: A Transformer-Based Approach0
DDGCN: Dual Dynamic Graph Convolutional Networks for Rumor Detection on Social MediaCode1
Rule Mining over Knowledge Graphs via Reinforcement Learning0
MixKG: Mixing for harder negative samples in knowledge graph0
Geometric Algebra based Embeddings for Static and Temporal Knowledge Graph Completion0
Unleashing the Power of Transformer for Graphs0
Discovering Fine-Grained Semantics in Knowledge Graph Relations0
Mining On Alzheimer's Diseases Related Knowledge Graph to Identity Potential AD-related Semantic Triples for Drug Repurposing0
EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge GraphsCode1
Learning to Discover Medicines0
On the Relationship between Shy and Warded Datalog+/-0
Multi-Modal Knowledge Graph Construction and Application: A Survey0
InterHT: Knowledge Graph Embeddings by Interaction between Head and Tail Entities0
Complexity of Arithmetic in Warded Datalog+-0
Computing Rule-Based Explanations of Machine Learning Classifiers using Knowledge Graphs0
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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