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 1001–1010 of 1192 papers

TitleStatusHype
Graph Embedding on Biomedical Networks: Methods, Applications, and EvaluationsCode0
PyramNet: Point Cloud Pyramid Attention Network and Graph Embedding Module for Classification and Segmentation—0
Graph Embedding based Wireless Link Scheduling with Few Training SamplesCode0
Learning Representations of Graph Data -- A Survey—0
Multi-view Knowledge Graph Embedding for Entity AlignmentCode0
Pykg2vec: A Python Library for Knowledge Graph Embedding—0
Integration of Knowledge Graph Embedding Into Topic Modeling with Hierarchical Dirichlet Process—0
Cross Domain Model Compression by Structurally Weight Sharing—0
Consensus Clustering: An Embedding Perspective, Extension and Beyond—0
Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified