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Huixuan Chi
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2020 – today
- 2024
- [c3]Yuanchen Bei, Hao Xu, Sheng Zhou, Huixuan Chi, Haishuai Wang, Mengdi Zhang, Zhao Li, Jiajun Bu:
CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks. ICDE 2024: 1199-1212 - 2023
- [c2]Hao Xu, Huixuan Chi, Danyang Liu, Sheng Zhou, Mengdi Zhang:
DPGN: Denoising Periodic Graph Network for Life Service Recommendation. CIKM 2023: 2846-2855 - [c1]Huixuan Chi, Qinfen Hao:
ALSP: Adaptive Long Short-term Preference Modeling with Temporal Graph Neural Networks. DSIT 2023: 61-66 - [i4]Yuanchen Bei, Hao Xu, Sheng Zhou, Huixuan Chi, Haishuai Wang, Mengdi Zhang, Zhao Li, Jiajun Bu:
CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks. CoRR abs/2307.02813 (2023) - [i3]Huixuan Chi, Hao Xu, Mengya Liu, Yuanchen Bei, Sheng Zhou, Danyang Liu, Mengdi Zhang:
Modeling Spatiotemporal Periodicity and Collaborative Signal for Local-Life Service Recommendation. CoRR abs/2309.12565 (2023) - 2022
- [i2]Huixuan Chi, Hao Xu, Hao Fu, Mengya Liu, Mengdi Zhang, Yuji Yang, Qinfen Hao, Wei Wu:
Long Short-Term Preference Modeling for Continuous-Time Sequential Recommendation. CoRR abs/2208.00593 (2022) - 2021
- [i1]Huixuan Chi, Yuying Wang, Qinfen Hao, Hong Xia:
Residual Network and Embedding Usage: New Tricks of Node Classification with Graph Convolutional Networks. CoRR abs/2105.08330 (2021)
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