most citedDrug-Drug Interaction Prediction with Wasserstein Adversarial Autoencoder-based Knowledge Graph Embeddings

3 citations · 3 across the 2 of their papers we have counts for

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cs.IR2022

Wasserstein Adversarial Learning based Temporal Knowledge Graph Embedding

Yuanfei Dai, Wenzhong Guo, Carsten Eickhoff

Research on knowledge graph embedding (KGE) has emerged as an active field in which most existing KGE approaches mainly focus on static structural data and ignore the influence of…