Efficient Memory Crystallization for Graph Learning under Non-Stationary Distribution Shifts

Yue Hou, Ruomei Liu, Yingke Su +2

Deep graph learning models deployed in real-world systems often need to cope with non-stationary environments, where the underlying graph distribution drifts continually over time.…