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 1171–1180 of 1192 papers

TitleStatusHype
Time2Graph: Revisiting Time Series Modeling with Dynamic ShapeletsCode0
Topologically Regularized Data EmbeddingsCode0
Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing ApproachCode0
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformersCode0
TranSHER: Translating Knowledge Graph Embedding with Hyper-Ellipsoidal RestrictionCode0
TreeRNN: Topology-Preserving Deep GraphEmbedding and LearningCode0
TuckerDNCaching: high-quality negative sampling with tucker decompositionCode0
Twitter User Representation Using Weakly Supervised Graph EmbeddingCode0
Two Layer Walk: A Community-Aware Graph EmbeddingCode0
Two-view Graph Neural Networks for Knowledge Graph CompletionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified