2 papers
cs.LG2026
DG-CoLearn: An Efficient Collaborative Learning Framework for Dynamic Graphs
Ashley Hoi-Ting Au, Zikun Zhang, Ligang He +1
Dynamic graph learning (DGL) is essential for modelling evolving graph data, but existing methods suffer from significant computational overhead due to repeated full-snapshot retra…
cs.LG2025
Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis
Zikun Zhang, Zixiang Chen, Quanquan Gu
Diffusion models have achieved great success in generating high-dimensional samples across various applications. While the theoretical guarantees for continuous-state diffusion mod…