| 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 | 99 | 2020 |
| 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 | 37* | 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 | 16 | 2020 |
| 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 | 13 | 2023 |
| 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 | 13 | 2022 |
| 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 | 5 | 2023 |
| 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 | 3 | 2023 |
| Social Regularisation in a BPR-based Venue Recommendation Systems S Liu, I Ounis, C Macdonald | 3 | 2019 |
| Effective graph representation learning for ranking-based recommendation S Liu University of Glasgow, 2023 | 2 | 2023 |
| Enhancing graph neural networks for recommender systems S Liu Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 2 | 2020 |
| 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 |
Iadh OunisProfessor at the University of Glasgow, School of Computing Science在 glasgow.ac.uk 的电子邮件经过验证
