publications

2025

1. E2Former: A Linear-time Efficient and Equivariant Transformer for Scalable Molecular Modeling

   Yunyang Li, Lin Huang, Zhihao Ding, and 8 more authors

   arXiv e-prints, 2025
2. RingFormer

   

   RingFormer: A Ring-Enhanced Graph Transformer for Organic Solar Cell Property Prediction

   Zhihao Ding, Ting Zhang, Yiran Li, and 2 more authors

   In Proceedings of the AAAI Conference on Artificial Intelligence, 2025

   PDF Blog Code Website

2024

1. GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation

   Ziang Zhou, Zhihao Ding, Jieming Shi, and 2 more authors

   arXiv preprint arXiv:2412.11180, 2024
2. Large language models are in-context molecule learners

   Jiatong Li, Wei Liu, Zhihao Ding, and 3 more authors

   arXiv preprint arXiv:2403.04197, 2024
3. SGOOD

   

   Sgood: Substructure-enhanced graph-level out-of-distribution detection

   Zhihao Ding, Jieming Shi, Shiqi Shen, and 4 more authors

   In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

   PDF Code Website
4. DIAM

   

   Effective Illicit Account Detection on Large Cryptocurrency MultiGraphs

   Zhihao Ding, Jieming Shi, Qing Li, and 1 more author

   In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

   PDF Code Website

2023

1. EmbedX

   

   EmbedX: A Versatile, Efficient and Scalable Platform to Embed Both Graphs and High-Dimensional Sparse Data

   Yuanhang Zou^*, Zhihao Ding^*, Jieming Shi, and 3 more authors

   Proceedings of the VLDB Endowment, 2023

   PDF Code Website

2022

1. Infer-AVAE: An attribute inference model based on adversarial variational autoencoder

   Yadong Zhou, Zhihao Ding, Xiaoming Liu, and 3 more authors

   Neurocomputing, 2022

2021

1. Payment-Guard: Detecting fraudulent in-app purchases in iOS system

   Yadong Zhou, Tianyi Yue, Xiaoming Liu, and 3 more authors

   Neurocomputing, 2021