SOTAVerified

Graph Embedding

Graph embeddings learn a mapping from a network to a vector space, while preserving relevant network properties.

( Image credit: GAT )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 791–800 of 1192 papers

TitleStatusHype
Multi-modal Multi-kernel Graph Learning for Autism Prediction and Biomarker Discovery—0
Data Poisoning Attack against Knowledge Graph Embedding—0
Citation Trajectory Prediction via Publication Influence Representation Using Temporal Knowledge Graph—0
Multiple Kernel Sparse Representations for Supervised and Unsupervised Learning—0
Towards Loosely-Coupling Knowledge Graph Embeddings and Ontology-based Reasoning—0
ChronoR: Rotation Based Temporal Knowledge Graph Embedding—0
Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learning—0
Towards Spatio-Temporal Cross-Platform Graph Embedding Fusion for Urban Traffic Flow Prediction—0
Vulcan: Solving the Steiner Tree Problem with Graph Neural Networks and Deep Reinforcement Learning—0
Unifying Graph Embedding Features with Graph Convolutional Networks for Skeleton-based Action Recognition—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified