most citedHierarchical Molecular Representation Learning via Fragment-Based Self-Supervised Embedding Prediction

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cs.LG2026★ 1 cited

Hierarchical Molecular Representation Learning via Fragment-Based Self-Supervised Embedding Prediction

Jiele Wu, Haozhe Ma, Zhihan Guo +2

Graph self-supervised learning (GSSL) has demonstrated strong potential for generating expressive graph embeddings without the need for human annotations, making it particularly va…

cs.LG2025

Exploration by Random Reward Perturbation

Haozhe Ma, Guoji Fu, Zhengding Luo +2

We introduce Random Reward Perturbation (RRP), a novel exploration strategy for reinforcement learning (RL). Our theoretical analyses demonstrate that adding zero-mean noise to env…