3 papers
cs.LG2025
Self-Reinforced Graph Contrastive Learning
Chou-Ying Hsieh, Chun-Fu Jang, Cheng-En Hsieh +2
Graphs serve as versatile data structures in numerous real-world domains-including social networks, molecular biology, and knowledge graphs-by capturing intricate relational inform…
cs.DC2024
Engineering A Workload-balanced Push-Relabel Algorithm for Massive Graphs on GPUs
Chou-Ying Hsieh, Po-Chieh Lin, Sy-Yen Kuo
The push-relabel algorithm is an efficient algorithm that solves the maximum flow/ minimum cut problems of its affinity to parallelization. As the size of graphs grows exponentiall…
cs.DC2024
Accelerating Maximal Biclique Enumeration on GPUs
Chou-Ying Hsieh, Chia-Ming Chang, Po-Hsiu Cheng +1
Maximal Biclique Enumeration (MBE) holds critical importance in graph theory with applications extending across fields such as bioinformatics, social networks, and recommendation s…