Siwei Liu

According to our database, Siwei Liu authored at least 19 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Enhancing Graph Neural Networks via Memorized Global Information.

Ruihong Zeng, Jinyuan Fang, Siwei Liu, Zaiqiao Meng, Shangsong Liang

ACM Trans. Web, November, 2024

Messages are Never Propagated Alone: Collaborative Hypergraph Neural Network for Time-Series Forecasting.

Nan Yin, Li Shen, Huan Xiong, Bin Gu, Chong Chen, Xian-Sheng Hua, Siwei Liu, Xiao Luo

IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

A Social-aware Gaussian Pre-trained model for effective cold-start recommendation.

Siwei Liu, Xi Wang, Craig Macdonald, Iadh Ounis

Inf. Process. Manag., March, 2024

PASCL: supervised contrastive learning with perturbative augmentation for particle decay reconstruction.

Junjian Lu, Siwei Liu, Dmitrii Kobylianski, Etienne Dreyer, Eilam Gross, Shangsong Liang

Mach. Learn. Sci. Technol., 2024

Degree Distribution based Spiking Graph Networks for Domain Adaptation.

Yingxu Wang, Siwei Liu, Mengzhu Wang, Shangsong Liang, Nan Yin

CoRR, 2024

BPP: a platform for automatic biochemical pathway prediction.

Xinhao Yi, Siwei Liu, Yu Wu, Douglas McCloskey, Zaiqiao Meng

Briefings Bioinform., 2024

Heterogeneous biomedical entity representation learning for gene-disease association prediction.

Zhaohan Meng, Siwei Liu, Shangsong Liang, Bhautesh Jani, Zaiqiao Meng

Briefings Bioinform., 2024

2023

HMCDA: a novel method based on the heterogeneous graph neural network and metapath for circRNA-disease associations prediction.

Shiyang Liang, Siwei Liu, Junliang Song, Qiang Lin, Shihong Zhao, Shuaixin Li, Jiahui Li, Shangsong Liang, Jingjie Wang

BMC Bioinform., December, 2023

Sequence pre-training-based graph neural network for predicting lncRNA-miRNA associations.

Zixiao Wang, Shiyang Liang, Siwei Liu, Zhaohan Meng, Jingjie Wang, Shangsong Liang

Briefings Bioinform., September, 2023

Effective graph representation learning for ranking-based recommendation.

Siwei Liu

PhD thesis, 2023

Graph Neural Pre-training for Recommendation with Side Information.

Siwei Liu, Zaiqiao Meng, Craig Macdonald, Iadh Ounis

ACM Trans. Inf. Syst., 2023

Leveraging Relational Graph Neural Network for Transductive Model Ensemble.

Zhengyu Hu, Jieyu Zhang, Haonan Wang, Siwei Liu, Shangsong Liang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

An MLP-based Algorithm for Efficient Contrastive Graph Recommendations.

Siwei Liu, Iadh Ounis, Craig Macdonald

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Parameter Tuning of Reranking-based Diversification Algorithms using Total Curvature Analysis.

Shameem Puthiya Parambath, Siwei Liu, Christos Anagnostopoulos, Roderick Murray-Smith, Iadh Ounis

Proceedings of the ICTIR '22: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, Madrid, Spain, July 11, 2022

2021

Graph Neural Pre-training for Enhancing Recommendations using Side Information.

Zaiqiao Meng, Siwei Liu, Craig Macdonald, Iadh Ounis

CoRR, 2021

2020

A Heterogeneous Graph Neural Model for Cold-start Recommendation.

Siwei Liu, Iadh Ounis, Craig Macdonald, Zaiqiao Meng

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Enhancing Graph Neural Networks for Recommender Systems.

Siwei Liu

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

BETA-Rec: Build, Evaluate and Tune Automated Recommender Systems.

Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis, Siwei Liu, Yaxiong Wu, Xi Wang, Shangsong Liang, Yucheng Liang, Guangtao Zeng, Junhua Liang, Qiang Zhang

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

2019

Social Regularisation in a BPR-based Venue Recommendation System.

Siwei Liu, Iadh Ounis, Craig Macdonald

Proceedings of the 9th PhD Symposium on Future Directions in Information Access co-located with 12th European Summer School in Information Retrieval (ESSIR 2019), Milan, Italy, July 17th - to, 2019