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Junwei Su
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Towards robust graph incremental learning on evolving graphs
J Su, D Zou, Z Zhang, C Wu
International Conference on Machine Learning, 32728-32748, 2023
92023
PRES: Toward Scalable Memory-Based Dynamic Graph Neural Networks
J Su, D Zou, C Wu
arXiv preprint arXiv:2402.04284, 2024
22024
Towards robust inductive graph incremental learning via experience replay
J Su, C Wu
arXiv preprint arXiv:2302.03534, 2023
22023
CDMPP: A Device-Model Agnostic Framework for Latency Prediction of Tensor Programs
H Hu, J Su, J Zhao, Y Peng, Y Zhu, H Lin, C Wu
Proceedings of the Nineteenth European Conference on Computer Systems, 1054-1074, 2024
12024
Improving Implicit Regularization of SGD with Preconditioning for Least Square Problems
J Su, D Zou, C Wu
arXiv preprint arXiv:2403.08585, 2024
2024
BG-HGNN: Toward Scalable and Efficient Heterogeneous Graph Neural Network
J Su, L Mao, C Wu
arXiv preprint arXiv:2403.08207, 2024
2024
On the Topology Awareness and Generalization Performance of Graph Neural Networks
J Su, C Wu
arXiv preprint arXiv:2403.04482, 2024
2024
MSPipe: Efficient Temporal GNN Training via Staleness-aware Pipeline
G Sheng, J Su, C Huang, C Wu
arXiv preprint arXiv:2402.15113, 2024
2024
MTRGL: Effective Temporal Correlation Discerning through Multi-modal Temporal Relational Graph Learning
J Su, S Wu, J Li
arXiv preprint arXiv:2401.14199, 2024
2024
ON LEARNABILITY AND EXPERIENCE REPLAY METHODS FOR GRAPH INCREMENTAL LEARNING ON EVOLVING GRAPHS
J Su, D Zou, C Wu
2023
Structural Properties Of Core–Periphery Communities
J Su, P Marbach
Advances in Complex Systems (ACS) 26 (06), 1-43, 2023
2023
ABC: Aggregation before Communication, a Communication Reduction Framework for Distributed Graph Neural Network Training and Effective Partition
J Su
arXiv preprint arXiv:2212.05410, 2022
2022
Structure of Core-Periphery Communities
J Su, P Marbach
International Conference on Complex Networks and Their Applications, 151-161, 2022
2022
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