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Zulun Zhu
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Spiking graph convolutional networks
Z Zhu, J Peng, J Li, L Chen, Q Yu, S Luo
arXiv preprint arXiv:2205.02767, 2022
632022
Scaling up dynamic graph representation learning via spiking neural networks
J Li, Z Yu, Z Zhu, L Chen, Q Yu, Z Zheng, S Tian, R Wu, C Meng
Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8588-8596, 2023
402023
Loop detection and correction of 3d laser-based slam with visual information
Z Zhu, S Yang, H Dai, F Li
Proceedings of the 31st International Conference on Computer Animation and …, 2018
272018
A graph is worth 1-bit spikes: When graph contrastive learning meets spiking neural networks
J Li, H Zhang, R Wu, Z Zhu, B Wang, C Meng, Z Zheng, L Chen
arXiv preprint arXiv:2305.19306, 2023
112023
Personalized PageRanks over Dynamic Graphs–The Case for Optimizing Quality of Service
Z Zhu, S Luo, W Lin, S Wang, D Mo, C Li
Proceedings of the 2024 IEEE 40th International Conference on Data Engineering, 2024
62024
Fastgcl: Fast self-supervised learning on graphs via contrastive neighborhood aggregation
Y Wang, W Sun, K Xu, Z Zhu, L Chen, Z Zheng
arXiv preprint arXiv:2205.00905, 2022
62022
Enhanced visual loop closing for laser-based SLAM
Z Zhu, S Yang, H Dai
2018 IEEE 29th international conference on application-specific systems …, 2018
52018
Benchmarking Spectral Graph Neural Networks: A Comprehensive Study on Effectiveness and Efficiency
N Liao, H Liu, Z Zhu, S Luo, LVS Lakshmanan
arXiv preprint arXiv:2406.09675, 2024
32024
Massively Parallel Single-Source SimRanks in Rounds
S Luo, Z Zhu
arXiv preprint arXiv:2304.04015, 2023
22023
Revisiting and Benchmarking Graph Autoencoders: A Contrastive Learning Perspective
J Li, R Wu, Y Zhu, H Zhang, X Jin, G Zhang, Z Zhu, Z Zheng, L Chen
arXiv preprint arXiv:2410.10241, 2024
2024
Topology-monitorable Contrastive Learning on Dynamic Graphs
Z Zhu, K Wang, H Liu, J Li, S Luo
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024
2024
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