DFNets: Spectral CNNs for Graphs with Feedback-Looped Filters. - Asiri Wijesinghe; Qing Wang 002 (NeurIPS, 2019)

ErGAN: Generative Adversarial Networks for Entity Resolution. - Jingyu Shao; Qing Wang 002; Asiri Wijesinghe; Erhard Rahm (ICDM, 2020)

A Regularized Wasserstein Framework for Graph Kernels. - Asiri Wijesinghe; Qing Wang 002; Stephen Gould (ICDM, 2021)

A New Perspective on "How Graph Neural Networks Go Beyond Weisfeiler-Lehman?". - Asiri Wijesinghe; Qing Wang 002 (ICLR, 2022)

𝒩-WL: A New Hierarchy of Expressivity for Graph Neural Networks. - Qing Wang 002; Dillon Ze Chen; Asiri Wijesinghe; Shouheng Li; Muhammad Farhan (ICLR, 2023)

Graph Self-Supervised Learning with Learnable Structural and Positional Encodings. - Asiri Wijesinghe; Hao Zhu 010; Piotr Koniusz (WWW, 2025)

Graph Neural Diffusion via Generalized Opinion Dynamics. - Asela Hevapathige; Asiri Wijesinghe; Ahad N. Zehmakan (CoRR, 2025)