Towards robust graph incremental learning on evolving graphs J Su, D Zou, Z Zhang, C Wu International Conference on Machine Learning, 32728-32748, 2023 | 9 | 2023 |
PRES: Toward Scalable Memory-Based Dynamic Graph Neural Networks J Su, D Zou, C Wu arXiv preprint arXiv:2402.04284, 2024 | 2 | 2024 |
Towards robust inductive graph incremental learning via experience replay J Su, C Wu arXiv preprint arXiv:2302.03534, 2023 | 2 | 2023 |
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 | 1 | 2024 |
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 |