RLMiner: Finding the Most Frequent k-sized Subgraph via Reinforcement LearningJan 1, 2026ยทWei HuangHanchen Wang,Dong Wen,Xin Cao,Ying Zhang,Wenjie Zhangยท 0 min readDOI URLTypeJournal articlePublicationCoRR (Preprint)Last updated on May 18, 2026 AuthorsHanchen WangARC DECRA Fellow, Lecturer ← Finding critical users in social networks with reinforcement learning Jan 1, 2026Give Me Some SALT: Structure-Aware Link Modeling for Temporal Weighted Link Prediction Oct 1, 2025 →