SOTAVerified

Graph Embedding

Graph embeddings learn a mapping from a network to a vector space, while preserving relevant network properties.

( Image credit: GAT )

Papers

Showing 971980 of 1192 papers

TitleStatusHype
Differentiating Concepts and Instances for Knowledge Graph EmbeddingCode0
DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity PredictionCode0
Dissimilar Nodes Improve Graph Active LearningCode0
Distance-Adaptive Quaternion Knowledge Graph Embedding with Bidirectional RotationCode0
Distributed Graph Embedding with Information-Oriented Random WalksCode0
Diversity matters: Robustness of bias measurements in WikidataCode0
Do Similar Entities have Similar Embeddings?Code0
DUPLEX: Dual GAT for Complex Embedding of Directed GraphsCode0
DyCSC: Modeling the Evolutionary Process of Dynamic Networks Based on Cluster StructureCode0
DynamicGEM: A Library for Dynamic Graph Embedding MethodsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0Unverified