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
Expressive Power of Invariant and Equivariant Graph Neural NetworksCode1
Benchmark and Best Practices for Biomedical Knowledge Graph EmbeddingsCode1
Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified FrameworkCode2
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node EmbeddingsCode1
TreeRNN: Topology-Preserving Deep GraphEmbedding and LearningCode0
Wasserstein Embedding for Graph LearningCode1
Knowledge Embedding Based Graph Convolutional NetworkCode1
Pairwise Supervision Can Provably Elicit a Decision Boundary—0
DFraud3- Multi-Component Fraud Detection freeof Cold-start—0
5* Knowledge Graph Embeddings with Projective Transformations—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified