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 1111–1120 of 1192 papers

TitleStatusHype
Fast Sequence Based Embedding with Diffusion GraphsCode1
Billion-scale Commodity Embedding for E-commerce Recommendation in AlibabaCode0
MILE: A Multi-Level Framework for Scalable Graph EmbeddingCode0
Adversarially Regularized Graph Autoencoder for Graph EmbeddingCode1
A probabilistic framework for multi-view feature learning with many-to-many associations via neural networks—0
The Importance of Norm Regularization in Linear Graph Embedding: Theoretical Analysis and Empirical Demonstration—0
GraphVAE: Towards Generation of Small Graphs Using Variational AutoencodersCode0
Knowledge Graph Embedding with Multiple Relation Projections—0
Ego-CNN: An Ego Network-based Representation of Graphs Detecting Critical Structures—0
Generalized Graph Embedding Models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified