publications

2025

1. 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

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2. 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

2024

1. 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

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2. 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

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3. Large language models are in-context molecule learners

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

   arXiv preprint arXiv:2403.04197, 2024
4. 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

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

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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