SOTAVerified

Graph Embedding

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

( Image credit: GAT )

Papers

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Showing 811–820 of 1192 papers

TitleStatusHype
CensNet: Convolution with Edge-Node Switching in Graph Neural Networks—0
Scalable Hypergraph Embedding System—0
TraceWalk: Semantic-based Process Graph Embedding for Consistency Checking—0
CDIMC-net: Cognitive Deep Incomplete Multi-view Clustering Network—0
Network representation learning systematic review: ancestors and current development state—0
Training like Playing: A Reinforcement Learning And Knowledge Graph-based framework for building Automatic Consultation System in Medical Field—0
Causal-aware Graph Neural Architecture Search under Distribution Shifts—0
Trajectory Prediction for Autonomous Driving using Agent-Interaction Graph Embedding—0
Neural Networks in a Product of Hyperbolic Spaces—0
Cascading: Association Augmented Sequential Recommendation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified