Publications

2023

1. Tutorial: Knowledge-augmented Graph Machine Learning for Drug Discovery: From Precision to Interpretability

   Zhiqiang Zhong, Davide Mottin
   ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’23) [Paper] [Web Page]

2. Multi-grained Semantics-aware Graph Neural Networks

   Zhiqiang Zhong, Cheng-Te Li, Jun Pang
   IEEE Transactions on Knowledge and Data Engineering (TKDE) [Paper] [Code]

3. Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey from Precision to Interpretability

   Zhiqiang Zhong, Anastasia Barkova, Davide Mottin
   Preprint on arxiv [Paper] [GitHub Page]

4. Hierarchical Message-Passing Graph Neural Networks

   Zhiqiang Zhong, Cheng-Te Li, Jun Pang
   Journal of Data Mining and Knowledge Discovery (DMKD) - Journal Track of ECML-PKDD [Paper] [Code]

2022

1. Unsupervised Network Embedding Beyond Homophily

   Zhiqiang Zhong, Guadalupe Gonzalez, Daniele Grattarola, Jun Pang
   Transactions on Machine Learning Research (TMLR) [Paper] [Code]

2. Simplifying Node Classification on Heterophilous Graphs with Compatible Label Propagation

   Zhiqiang Zhong, Sergey Ivanov, Jun Pang
   Transactions on Machine Learning Research (TMLR) [Paper] [Code]

3. The Burden of Being a Bridge: Analysing Subjective Well-Being of Twitter Users during the COVID-19 Pandemic

   Ninghan Chen, Xihui Chen, Zhiqiang Zhong, Jun Pang
   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD’22) [Paper]

4. Leveraging Graph Machine Learning for Social Network Analysis

   Zhiqiang Zhong
   PhD. Degree Thesis Published at orbilu.uni.lu [Paper]

5. Personalised Meta-path Generation for Heterogeneous Graph Neural Networks

   Zhiqiang Zhong, Cheng-Te Li, Jun Pang
   Journal of Data Mining and Knowledge Discovery (DMKD) - Journal Track of ECML-PKDD [Paper [Code]

6. Exploring Spillover Effects for COVID-19 Cascade Prediction

   Ninghan Chen, Xihui Chen, Zhiqiang Zhong, Jun Pang
   Journal of Entropy [Paper]

2021

1. From #Jobsearch to #Mask: Improving COVID-19 Cascade Prediction with Spillover Effects

   Ninghan Chen, Xihui Chen, Zhiqiang Zhong, Jun Pang
   ACM/IEEE International Conference on Social Network Analysis and Mining (ASONAM’21) [Paper]

2. An Exploratory Study of COVID-19 Information on Twitter in the Greater Region

   Ninghan Chen, Zhiqiang Zhong, Jun Pang
   Journal of Big Data and Cognitive Computing [Paper]

2020

1. NeuLP: An End-to-end Deep-learning Model for Link Prediction

   Zhiqiang Zhong, Yang Zhang, Jun Pang
   In Proceedings of the 21th International Conference on Web Information Systems Engineering (WISE’20) [Paper] [Code]

2019

1. A Graph-based Approach to Explore Relationship between Hashtags and Images

   Zhiqiang Zhong, Yang Zhang, Jun Pang
   In Proceedings of the 20th International Conference on Web Information Systems Engineering (WISE’19) [Paper]