56 citations · 63 across the 6 of their papers we have counts for
5 papers · 1 filter
Dynamic Graph Representation Learning for Depression Screening with Transformer
Ai-Te Kuo, Haiquan Chen, Yu-Hsuan Kuo +1
Early detection of mental disorder is crucial as it enables prompt intervention and treatment, which can greatly improve outcomes for individuals suffering from debilitating mental…
Rethinking Graph Lottery Tickets: Graph Sparsity Matters
Bo Hui, Da Yan, Xiaolong Ma +1
Lottery Ticket Hypothesis (LTH) claims the existence of a winning ticket (i.e., a properly pruned sub-network together with original weight initialization) that can achieve competi…
MGC: A Complex-Valued Graph Convolutional Network for Directed Graphs
Jie Zhang, Bo Hui, Po-Wei Harn +2
Recent advancements in Graph Neural Networks have led to state-of-the-art performance on graph representation learning. However, the majority of existing works process directed gra…
Deep Multi-attribute Graph Representation Learning on Protein Structures
Tian Xia, Wei-Shinn Ku
Graphs as a type of data structure have recently attracted significant attention. Representation learning of geometric graphs has achieved great success in many fields including mo…
Adversarial and Clean Data Are Not Twins
Zhitao Gong, Wenlu Wang, Wei-Shinn Ku
Adversarial attack has cast a shadow on the massive success of deep neural networks. Despite being almost visually identical to the clean data, the adversarial images can fool deep…