[HTML][HTML] Software systems implementation and domain-specific architectures towards graph analytics

H Jin, H Qi, J Zhao, X Jiang, Y Huang, C Gui… - Intelligent …, 2022 - spj.science.org
Graph analytics, which mainly includes graph processing, graph mining, and graph learning,
has become increasingly important in several domains, including social network analysis …

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights

J Xie, S Zhang, B Xia, Z Xiao, H Jiang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Pedestrian trajectory prediction is a critical technology in the evolution of self-driving cars
toward complete artificial intelligence. Over recent years, focusing on the trajectories of …

DeepAEG: a model for predicting cancer drug response based on data enhancement and edge-collaborative update strategies

C Lao, P Zheng, H Chen, Q Liu, F An, Z Li - BMC bioinformatics, 2024 - Springer
Motivation The prediction of cancer drug response is a challenging subject in modern
personalized cancer therapy due to the uncertainty of drug efficacy and the heterogeneity of …

DeepEAG: An edge-powered graph neural network using SMILES augmentation for cancer drug response prediction

C Lao, P Zheng, H Chen, F An, Q Liu - 2023 - researchsquare.com
Motivation:: The prediction of cancer drug response is a challenging subject in modern
personalized cancer therapy due to the uncertainty of drug efficacy and the heterogeneity of …