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

collaborators

2 papers

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…

cs.LG2020★ 3 cited

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

Yuanfei Dai, Chenhao Guo, Wenzhong Guo +1

Interaction between pharmacological agents can trigger unexpected adverse events. Capturing richer and more comprehensive information about drug-drug interactions (DDI) is one of t…