6 citations · 10 across the 6 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
cs.AI2023★ 6 cited
Source-Aware Embedding Training on Heterogeneous Information Networks
Tsai Hor Chan, Chi Ho Wong, Jiajun Shen +1
Heterogeneous information networks (HINs) have been extensively applied to real-world tasks, such as recommendation systems, social networks, and citation networks. While existing…
cs.CV2023
Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning
Tsai Hor Chan, Fernando Julio Cendra, Lan Ma +2
Graph-based methods have been extensively applied to whole-slide histopathology image (WSI) analysis due to the advantage of modeling the spatial relationships among different enti…
cs.LG2023★ 1 cited
Futures Quantitative Investment with Heterogeneous Continual Graph Neural Network
Min Hu, Zhizhong Tan, Bin Liu +1
This study aims to address the challenges of futures price prediction in high-frequency trading (HFT) by proposing a continuous learning factor predictor based on graph neural netw…