Siwei Liu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Parameter Tuning

Top Venues

Briefings Bioinform.

Publications

Xinhao Yi, Siwei Liu, Yu Wu, Douglas McCloskey, Zaiqiao Meng
BPP: a platform for automatic biochemical pathway prediction. Briefings Bioinform. 25 (5) (2024)
Junjian Lu, Siwei Liu, Dmitrii Kobylianski, Etienne Dreyer, Eilam Gross, Shangsong Liang
PASCL: Supervised Contrastive Learning with Perturbative Augmentation for Particle Decay Reconstruction. CoRR (2024)
Zhaohan Meng, Siwei Liu, Shangsong Liang, Bhautesh Jani, Zaiqiao Meng
Heterogeneous biomedical entity representation learning for gene-disease association prediction. Briefings Bioinform. 25 (5) (2024)
Siwei Liu, Xi Wang, Craig Macdonald, Iadh Ounis
A Social-aware Gaussian Pre-trained model for effective cold-start recommendation. Inf. Process. Manag. 61 (2) (2024)
Nan Yin, Li Shen, Huan Xiong, Bin Gu, Chong Chen, Xian-Sheng Hua, Siwei Liu, Xiao Luo
Messages are Never Propagated Alone: Collaborative Hypergraph Neural Network for Time-Series Forecasting. IEEE Trans. Pattern Anal. Mach. Intell. 46 (4) (2024)
Zhengyu Hu, Jieyu Zhang, Haonan Wang, Siwei Liu, Shangsong Liang
Leveraging Relational Graph Neural Network for Transductive Model Ensemble. KDD (2023)
Shiyang Liang, Siwei Liu, Junliang Song, Qiang Lin, Shihong Zhao, Shuaixin Li, Jiahui Li, Shangsong Liang, Jingjie Wang
HMCDA: a novel method based on the heterogeneous graph neural network and metapath for circRNA-disease associations prediction. BMC Bioinform. 24 (1) (2023)
Siwei Liu, Xi Wang, Craig Macdonald, Iadh Ounis
A Social-aware Gaussian Pre-trained Model for Effective Cold-start Recommendation. CoRR (2023)
Siwei Liu, Zaiqiao Meng, Craig Macdonald, Iadh Ounis
Graph Neural Pre-training for Recommendation with Side Information. ACM Trans. Inf. Syst. 41 (3) (2023)
Zixiao Wang, Shiyang Liang, Siwei Liu, Zhaohan Meng, Jingjie Wang, Shangsong Liang
Sequence pre-training-based graph neural network for predicting lncRNA-miRNA associations. Briefings Bioinform. 24 (5) (2023)
Shameem Puthiya Parambath, Siwei Liu, Christos Anagnostopoulos, Roderick Murray-Smith, Iadh Ounis
Parameter Tuning of Reranking-based Diversification Algorithms using Total Curvature Analysis. ICTIR (2022)
Siwei Liu, Iadh Ounis, Craig Macdonald
An MLP-based Algorithm for Efficient Contrastive Graph Recommendations. SIGIR (2022)
Zaiqiao Meng, Siwei Liu, Craig Macdonald, Iadh Ounis
Graph Neural Pre-training for Enhancing Recommendations using Side Information. CoRR (2021)
Siwei Liu, Iadh Ounis, Craig Macdonald, Zaiqiao Meng
A Heterogeneous Graph Neural Model for Cold-start Recommendation. SIGIR (2020)
Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis, Siwei Liu, Yaxiong Wu, Xi Wang, Shangsong Liang, Yucheng Liang, Guangtao Zeng, Junhua Liang, Qiang Zhang
BETA-Rec: Build, Evaluate and Tune Automated Recommender Systems. RecSys (2020)
Siwei Liu
Enhancing Graph Neural Networks for Recommender Systems. SIGIR (2020)
Siwei Liu, Iadh Ounis, Craig Macdonald
Social Regularisation in a BPR-based Venue Recommendation System. FDIA@ESSIR (2019)