A Graph-Based Approach to Explore Relationship Between Hashtags and Images. - Zhiqiang Zhong 001; Yang Zhang 016; Jun Pang 001 (WISE, 2019)

NeuLP: An End-to-End Deep-Learning Model for Link Prediction. - Zhiqiang Zhong 001; Yang Zhang 016; Jun Pang 001 (WISE (1), 2020)

Adaptive Multi-grained Graph Neural Networks. - Zhiqiang Zhong 001; Cheng-Te Li; Jun Pang 001 (CoRR, 2020)

Reinforcement Learning Enhanced Heterogeneous Graph Neural Network. - Zhiqiang Zhong 001; Cheng-Te Li; Jun Pang 001 (CoRR, 2020)

From #Jobsearch to #Mask: Improving COVID-19 Cascade Prediction with Spillover Effects. - Ninghan Chen; Zhiqiang Zhong 001; Jun Pang 001 (CoRR, 2020)

From #jobsearch to #mask: improving COVID-19 cascade prediction with spillover effects. - Ninghan Chen; Xihui Chen; Zhiqiang Zhong 001; Jun Pang 001 (ASONAM, 2021)

An Exploratory Study of COVID-19 Information on Twitter in the Greater Region. - Ninghan Chen; Zhiqiang Zhong 001; Jun Pang 001 (Big Data Cogn. Comput., 2021)

The Burden of Being a Bridge: Understanding the Role of Multilingual Users during the COVID-19 Pandemic. - Ninghan Chen; Xihui Chen; Zhiqiang Zhong 001; Jun Pang 001 (CoRR, 2021)

The Burden of Being a Bridge: Analysing Subjective Well-Being of Twitter Users During the COVID-19 Pandemic. - Ninghan Chen; Xihui Chen; Zhiqiang Zhong 001; Jun Pang 001 (ECML/PKDD (2), 2022)

Unsupervised Heterophilous Network Embedding via r-Ego Network Discrimination. - Zhiqiang Zhong 001; Guadalupe Gonzalez; Daniele Grattarola; Jun Pang 001 (CoRR, 2022)

Simplifying Node Classification on Heterophilous Graphs with Compatible Label Propagation. - Zhiqiang Zhong 001; Sergey Ivanov; Jun Pang 001 (CoRR, 2022)

Personalised meta-path generation for heterogeneous graph neural networks. - Zhiqiang Zhong 001; Cheng-Te Li; Jun Pang 001 (Data Min. Knowl. Discov., 2022)

Exploring Spillover Effects for COVID-19 Cascade Prediction. - Ninghan Chen; Xihui Chen; Zhiqiang Zhong 001; Jun Pang 001 (Entropy, 2022)

Unsupervised Network Embedding Beyond Homophily. - Zhiqiang Zhong 001; Guadalupe Gonzalez; Daniele Grattarola; Jun Pang 001 (Trans. Mach. Learn. Res., 2022)

Simplifying Node Classification on Heterophilous Graphs with Compatible Label Propagation. - Zhiqiang Zhong 001; Sergei Ivanov 004; Jun Pang 001 (Trans. Mach. Learn. Res., 2022)

GR-ego COVID-19 Twitter dataset. - Ninghan Chen; Xihui Chen; Zhiqiang Zhong 001; Jun Pang 001 (IEEE DataPort, 2022)

Knowledge-augmented Graph Machine Learning for Drug Discovery: From Precision to Interpretability. - Zhiqiang Zhong 001; Davide Mottin (KDD, 2023)

Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey from Precision to Interpretability. - Zhiqiang Zhong 001; Anastasia Barkova; Davide Mottin (CoRR, 2023)

How Faithful are Self-Explainable GNNs? - Marc Christiansen; Lea Villadsen; Zhiqiang Zhong 001; Stefano Teso; Davide Mottin (CoRR, 2023)

On the Robustness of Post-hoc GNN Explainers to Label Noise. - Zhiqiang Zhong 001; Yangqianzi Jiang; Davide Mottin (CoRR, 2023)

Hierarchical message-passing graph neural networks. - Zhiqiang Zhong 001; Cheng-Te Li; Jun Pang 001 (Data Min. Knowl. Discov., 2023)

Multi-Grained Semantics-Aware Graph Neural Networks. - Zhiqiang Zhong 001; Cheng-Te Li; Jun Pang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Harnessing Large Language Models as Post-hoc Correctors. - Zhiqiang Zhong 001; Kuangyu Zhou; Davide Mottin (ACL (Findings), 2024)

Multi-Grained Semantics-Aware Graph Neural Networks (Extended abstract). - Zhiqiang Zhong 001; Cheng-Te Li; Jun Pang 001 (ICDE, 2024)

Efficiently Predicting Mutational Effect on Homologous Proteins by Evolution Encoding. - Zhiqiang Zhong 001; Davide Mottin (ECML/PKDD (7), 2024)

EvolMPNN: Predicting Mutational Effect on Homologous Proteins by Evolution Encoding. - Zhiqiang Zhong 001; Davide Mottin (CoRR, 2024)

Benchmarking Large Language Models for Molecule Prediction Tasks. - Zhiqiang Zhong 001; Kuangyu Zhou; Davide Mottin (CoRR, 2024)

Exploring Graph Structure Comprehension Ability of Multimodal Large Language Models: Case Studies. - Zhiqiang Zhong 001; Davide Mottin (CoRR, 2024)

A tale of two roles: exploring topic-specific susceptibility and influence in cascade prediction. - Ninghan Chen; Xihui Chen; Zhiqiang Zhong 001; Jun Pang 001 (Data Min. Knowl. Discov., 2024)

Bridging Performance of X (formerly known as Twitter) Users: A Predictor of Subjective Well-Being During the Pandemic. - Ninghan Chen; Xihui Chen; Zhiqiang Zhong 001; Jun Pang 001 (ACM Trans. Web, 2024)

Hierarchical Bipartite Graph Convolutional Network for Recommendation. - Yi-Wei Cheng; Zhiqiang Zhong 001; Jun Pang 001; Cheng-Te Li (IEEE Comput. Intell. Mag., 2024)

Automatic Annotation Augmentation Boosts Translation between Molecules and Natural Language. - Zhiqiang Zhong 001; Simon Sataa-Yu Larsen; Haoyu Guo; Tao Tang; Kuangyu Zhou; Davide Mottin (NAACL (Findings), 2025)

"Double vaccinated, 5G boosted!": Learning Attitudes towards COVID-19 Vaccination from Social Media. - Ninghan Chen; Xihui Chen; Zhiqiang Zhong 001; Jun Pang 001 (ACM Trans. Web, 2025)

Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey. - Zhiqiang Zhong 001; Anastasia Barkova; Davide Mottin (ACM Comput. Surv., 2025)