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 141–150 of 1192 papers

TitleStatusHype
Continual Learning of Knowledge Graph EmbeddingsCode1
Graph Convolutional Networks for traffic anomalyCode1
On Using Classification Datasets to Evaluate Graph-Level Outlier Detection: Peculiar Observations and New InsightsCode1
Bipartite Graph Embedding via Mutual Information MaximizationCode1
xFraud: Explainable Fraud Transaction DetectionCode1
FusedMM: A Unified SDDMM-SpMM Kernel for Graph Embedding and Graph Neural NetworksCode1
PairRE: Knowledge Graph Embeddings via Paired Relation VectorsCode1
FedE: Embedding Knowledge Graphs in Federated SettingCode1
Efficient, Simple and Automated Negative Sampling for Knowledge Graph EmbeddingCode1
Explaining Neural Matrix Factorization with Gradient RollbackCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified