Hierarchical message-passing graph neural networks Z Zhong, CT Li, J Pang DMKD 37 (1), 381-408, 2023 | 39 | 2023 |
An exploratory study of COVID-19 information on twitter in the greater region N Chen, Z Zhong, J Pang Big Data and Cognitive Computing 5 (1), 5, 2021 | 18 | 2021 |
Personalised meta-path generation for heterogeneous graph neural networks Z Zhong, CT Li, J Pang DMKD 36 (6), 2299-2333, 2022 | 15* | 2022 |
Unsupervised Network Embedding Beyond Homophily Z Zhong, G Gonzalez, D Grattarola, J Pang TMLR, 2022 | 11* | 2022 |
Knowledge-augmented Graph Machine Learning for Drug Discovery: From Precision to Interpretability Z Zhong, D Mottin KDD, 5841-5842, 2023 | 10 | 2023 |
The burden of being a bridge: analysing subjective well-being of Twitter users during the COVID-19 pandemic N Chen, X Chen, Z Zhong, J Pang ECML-PKDD, 241-257, 2022 | 10 | 2022 |
Benchmarking large language models for molecule prediction tasks Z Zhong, K Zhou, D Mottin arXiv preprint arXiv:2403.05075, 2024 | 8 | 2024 |
Exploring spillover effects for COVID-19 cascade prediction N Chen, X Chen, Z Zhong, J Pang Entropy 24 (2), 222, 2022 | 8 | 2022 |
Simplifying Node Classification on Heterophilous Graphs with Compatible Label Propagation Z Zhong, S Ivanov, J Pang TMLR, 2022 | 7 | 2022 |
Multi-grained Semantics-aware Graph Neural Networks Z Zhong, CT Li, J Pang TKDE, 2022 | 7 | 2022 |
Neulp: An end-to-end deep-learning model for link prediction Z Zhong, Y Zhang, J Pang WISE, 96-108, 2020 | 7 | 2020 |
From# jobsearch to# mask: improving COVID-19 cascade prediction with spillover effects N Chen, X Chen, Z Zhong, J Pang ASONAM, 455-462, 2021 | 3 | 2021 |
The burden of being a bridge: Understanding the role of multilingual users during the COVID-19 pandemic N Chen, X Chen, Z Zhong, J Pang | 3 | 2021 |
A graph-based approach to explore relationship between hashtags and images Z Zhong, Y Zhang, J Pang WISE, 473-488, 2019 | 3 | 2019 |
Harnessing Large Language Models as Post-hoc Correctors Z Zhong, K Zhou, D Mottin ACL Findings, 2024 | 2 | 2024 |
On the Robustness of Post-hoc GNN Explainers to Label Noise Z Zhong, Y Jiang, D Mottin LoG, 2023 | 2 | 2023 |
How Faithful are Self-Explainable GNNs? M Christiansen, L Villadsen, Z Zhong, S Teso, D Mottin LoG, 2023 | 2 | 2023 |
Hierarchical Bipartite Graph Convolutional Network for Recommendation YW Cheng, Z Zhong, J Pang, CT Li CIM 19 (2), 49-60, 2024 | 1 | 2024 |
A tale of two roles: exploring topic-specific susceptibility and influence in cascade prediction N Chen, X Chen, Z Zhong, J Pang DMKD 38 (1), 79-109, 2024 | 1 | 2024 |
" Double vaccinated, 5G boosted!": Learning Attitudes towards COVID-19 Vaccination from Social Media N Chen, X Chen, Z Zhong, J Pang arXiv preprint arXiv:2206.13456, 2022 | 1 | 2022 |