Residual Network and Embedding Usage: New Tricks of Node Classification with Graph Convolutional Networks. - Huixuan Chi; Yuying Wang; Qinfen Hao; Hong Xia (CoRR, 2021)

Long Short-Term Preference Modeling for Continuous-Time Sequential Recommendation. - Huixuan Chi; Hao Xu; Hao Fu; Mengya Liu; Mengdi Zhang 002; Yuji Yang; Qinfen Hao; Wei Wu 014 (CoRR, 2022)

DPGN: Denoising Periodic Graph Network for Life Service Recommendation. - Hao Xu; Huixuan Chi; Danyang Liu; Sheng Zhou 004; Mengdi Zhang 002 (CIKM, 2023)

ALSP: Adaptive Long Short-term Preference Modeling with Temporal Graph Neural Networks. - Huixuan Chi; Qinfen Hao (DSIT, 2023)

Modeling Spatiotemporal Periodicity and Collaborative Signal for Local-Life Service Recommendation. - Huixuan Chi; Hao Xu; Mengya Liu; Yuanchen Bei; Sheng Zhou 004; Danyang Liu; Mengdi Zhang 002 (CoRR, 2023)

CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks. - Yuanchen Bei; Hao Xu; Sheng Zhou 004; Huixuan Chi; Haishuai Wang; Mengdi Zhang 002; Zhao Li 007; Jiajun Bu (ICDE, 2024)

Improving Temporal Graph Collaborative Filtering with Temporal Local Augmentation. - Huixuan Chi; Hongwei Liu; Qinfen Hao (MLNLP, 2024)