Shirzad, Hamed

8 publications

NeurIPSW 2024 A Theory for Compressibility of Graph Transformers for Transductive Learning Hamed Shirzad, Honghao Lin, Ameya Velingker, Balaji Venkatachalam, David Woodruff, Danica J. Sutherland

NeurIPS 2024 Even Sparser Graph Transformers Hamed Shirzad, Honghao Lin, Balaji Venkatachalam, Ameya Velingker, David P. Woodruff, Danica J. Sutherland

NeurIPSW 2024 Normalization Matters for Optimization Performance on Graph Neural Networks Alan Milligan, Frederik Kunstner, Hamed Shirzad, Mark Schmidt, Danica J. Sutherland

ICML 2023 Exphormer: Sparse Transformers for Graphs Hamed Shirzad, Ameya Velingker, Balaji Venkatachalam, Danica J. Sutherland, Ali Kemal Sinop

NeurIPSW 2023 Low-Width Approximations and Sparsification for Scaling Graph Transformers Hamed Shirzad, Balaji Venkatachalam, Ameya Velingker, Danica Sutherland, David Woodruff

ICMLW 2023 Scaling Graphically Structured Diffusion Models Christian Dietrich Weilbach, William Harvey, Hamed Shirzad, Frank Wood

AISTATS 2022 TD-GEN: Graph Generation Using Tree Decomposition Hamed Shirzad, Hossein Hajimirsadeghi, Amir H. Abdi, Greg Mori

NeurIPS 2022 Evaluating Graph Generative Models with Contrastively Learned Features Hamed Shirzad, Kaveh Hassani, Danica J. Sutherland