The team is responsible for maintaining Deep Graph Learning (DGL), the world’s most widely used graph learning framework. I focused on improving models for dynamic graph neural network algorithms.

AI financial risk control algorithm based on graph computing, which has hit the top data conference SIGMOD 2021.

My PhD research focuses on designing novel graph neural networks for modeling industry-level dynamic networks, such as knowledge graphs, social networks, and financial networks. Thesis on Deep graph learning based anomaly detection and dynamic relation modeling.