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Siwei Liu
Siwei Liu
Lecturer (Assistant Professor) at University of Aberdeen
Geverifieerd e-mailadres voor abdn.ac.uk - Homepage
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A heterogeneous graph neural model for cold-start recommendation
S Liu, I Ounis, C Macdonald, Z Meng
Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020
932020
Graph neural pre-training for recommendation with side information
S Liu, Z Meng, C Macdonald, I Ounis
ACM Transactions on Information Systems 41 (3), 1-28, 2023
27*2023
Beta-rec: Build, evaluate and tune automated recommender systems
Z Meng, R McCreadie, C Macdonald, I Ounis, S Liu, Y Wu, X Wang, ...
Proceedings of the 14th ACM Conference on Recommender Systems, 588-590, 2020
162020
An mlp-based algorithm for efficient contrastive graph recommendations
S Liu, I Ounis, C Macdonald
Proceedings of the 45th international ACM SIGIR conference on research and …, 2022
132022
Messages are never propagated alone: Collaborative hypergraph neural network for time-series forecasting
N Yin, L Shen, H Xiong, B Gu, C Chen, XS Hua, S Liu, X Luo
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
82023
Leveraging relational graph neural network for transductive model ensemble
Z Hu, J Zhang, H Wang, S Liu, S Liang
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
32023
Social Regularisation in a BPR-based Venue Recommendation Systems
S Liu, I Ounis, C Macdonald
32019
Effective graph representation learning for ranking-based recommendation
S Liu
University of Glasgow, 2023
22023
Enhancing graph neural networks for recommender systems
S Liu
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
22020
Sequence pre-training-based graph neural network for predicting lncRNA-miRNA associations
Z Wang, S Liang, S Liu, Z Meng, J Wang, S Liang
Briefings in Bioinformatics 24 (5), bbad317, 2023
12023
A Social-aware Gaussian Pre-trained model for effective cold-start recommendation
S Liu, X Wang, C Macdonald, I Ounis
Information Processing & Management 61 (2), 103601, 2024
2024
PASCL: Supervised Contrastive Learning with Perturbative Augmentation for Particle Decay Reconstruction
J Lu, S Liu, D Kobylianski, E Dreyer, E Gross, S Liang
arXiv preprint arXiv:2402.11538, 2024
2024
HMCDA: a novel method based on the heterogeneous graph neural network and metapath for circRNA-disease associations prediction
S Liang, S Liu, J Song, Q Lin, S Zhao, S Li, J Li, S Liang, J Wang
BMC bioinformatics 24 (1), 335, 2023
2023
Parameter Tuning of Reranking-based Diversification Algorithms using Total Curvature Analysis
S Puthiya Parambath, S Liu, C Anagnostopoulos, R Murray-Smith, I Ounis
Proceedings of the 2022 ACM SIGIR International Conference on Theory of …, 2022
2022
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Artikelen 1–14