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 461–470 of 1192 papers

TitleStatusHype
Curvature Regularization to Prevent Distortion in Graph Embedding—0
Graph-Embedded Multi-layer Kernel Extreme Learning Machine for One-class Classification or (Graph-Embedded Multi-layer Kernel Ridge Regression for One-class Classification)—0
How Feasible is Augmenting Fake Nodes with Learnable Features as a Counter-strategy against Link Stealing Attacks?—0
Ego-CNN: An Ego Network-based Representation of Graphs Detecting Critical Structures—0
Graph Embedding Based Hybrid Social Recommendation System—0
Customizing Knowledge Graph Embedding to Improve Clinical Study Recommendation—0
HUGE: Huge Unsupervised Graph Embeddings with TPUs—0
Causal-aware Graph Neural Architecture Search under Distribution Shifts—0
Graph Learning for Combinatorial Optimization: A Survey of State-of-the-Art—0
Efficient Relational Context Perception for Knowledge Graph Completion—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified