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 891–900 of 1192 papers

TitleStatusHype
Adaptive Homophily Clustering: Structure Homophily Graph Learning with Adaptive Filter for Hyperspectral Image—0
Zero-shot Word Sense Disambiguation using Sense Definition EmbeddingsCode0
Learning Universal Graph Neural Network Embeddings With Aid Of Transfer LearningCode0
Symbolic Graph Embedding using Frequent Pattern MiningCode0
Force-directed graph embedding with hops distanceCode0
3D Rotation and Translation for Hyperbolic Knowledge Graph EmbeddingCode0
A Canonicalization Perspective on Invariant and Equivariant LearningCode0
Accurate, Efficient and Scalable Graph EmbeddingCode0
Active Learning for Graph EmbeddingCode0
A Decade of Scholarly Research on Open Knowledge GraphsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified