Pursuit Winning Strategies for Reach-Avoid Games with Polygonal Obstacles

no code implementations • 10 Mar 2024 • Rui Yan, Shuai Mi, Xiaoming Duan, Jintao Chen, Xiangyang Ji

The pursuers cooperate to protect a convex region from the evaders who try to reach the region.

SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation

1 code implementation • 7 Feb 2022 • Jun Xia, Lirong Wu, Jintao Chen, Bozhen Hu, Stan Z. Li

Furthermore, we devise adversarial training scheme, dubbed \textbf{AT-SimGRACE}, to enhance the robustness of graph contrastive learning and theoretically explain the reasons.

Contrastive Learning Data Augmentation +1

ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning

1 code implementation • 5 Oct 2021 • Jun Xia, Lirong Wu, Ge Wang, Jintao Chen, Stan Z. Li

Contrastive Learning (CL) has emerged as a dominant technique for unsupervised representation learning which embeds augmented versions of the anchor close to each other (positive samples) and pushes the embeddings of other samples (negatives) apart.

Contrastive Learning Representation Learning