Xikun Zhang

Hierarchical Prototype Networks for Continual Graph Representation Learning

2022 · IEEE Transactions on Pattern Analysis and Machine Intelligence

Despite significant advances in graph representation learning, little attention has been paid to the more practical continual learning scenario in which new categories of nodes (e.g., new research areas in citation networks, or new types …

Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks

2019

Modeling sequential interactions between users and items/products is crucial in domains such as e-commerce, social networking, and education. Representation learning presents an attractive opportunity to model the dynamic evolution of users and items, where each …