2 papers
cs.CV2026
MoWorld: A Flash World Model
Team Moxin, Deyi Ji, Tianrun Chen +37
The future of World Models depends not only on scaling model capability, but also on scaling practicality and inference efficiency. High-frame-rate inference enables responsive per…
cs.LG2025
Towards Effective Open-set Graph Class-incremental Learning
Jiazhen Chen, Zheng Ma, Sichao Fu +3
Graph class-incremental learning (GCIL) allows graph neural networks (GNNs) to adapt to evolving graph analytical tasks by incrementally learning new class knowledge while retainin…