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Han Xie
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Fedgraphnn: A federated learning system and benchmark for graph neural networks
C He, K Balasubramanian, E Ceyani, C Yang, H Xie, L Sun, L He, L Yang, ...
arXiv preprint arXiv:2104.07145, 2021
1532021
Federated graph classification over non-iid graphs
H Xie, J Ma, L Xiong, C Yang
Advances in neural information processing systems 34, 18839-18852, 2021
1152021
Fedgraphnn: A federated learning benchmark system for graph neural networks
C He, K Balasubramanian, E Ceyani, C Yang, H Xie, L Sun, L He, L Yang, ...
ICLR 2021 Workshop on Distributed and Private Machine Learning (DPML), 2021
222021
Federated node classification over graphs with latent link-type heterogeneity
H Xie, L Xiong, C Yang
Proceedings of the ACM Web Conference 2023, 556-566, 2023
132023
Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications
H Xie, D Zheng, J Ma, H Zhang, VN Ioannidis, X Song, Q Ping, S Wang, ...
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
122023
Subgraph federated learning over heterogeneous graphs
K Zhang, H Xie, Z Gu, X Li, L Sun, SM Yiu, Y Yao, C Yang
FedGraph-CIKM, 2022
32022
Detecting transcriptomic structural variants in heterogeneous contexts via the Multiple Compatible Arrangements Problem
Y Qiu, C Ma, H Xie, C Kingsford
Algorithms for Molecular Biology 15 (1), 9, 2020
32020
FedBrain: Federated Training of Graph Neural Networks for Connectome-based Brain Imaging Analysis
Y Yang, H Xie, H Cui, C Yang
PACIFIC SYMPOSIUM ON BIOCOMPUTING 2024, 214-225, 2023
12023
Federated learning for cross-institution brain network analysis
H Xie, Y Yang, H Cui, C Yang
Medical Imaging 2024: Computer-Aided Diagnosis 12927, 106-119, 2024
2024
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