Torkamani, MohamadAli

8 publications

ICLR 2025 Ensembles of Low-Rank Expert Adapters Yinghao Li, Vianne R. Gao, Chao Zhang, MohamadAli Torkamani

ICLR 2025 Robustness Reprogramming for Representation Learning Zhichao Hou, MohamadAli Torkamani, Hamid Krim, Xiaorui Liu

ICLR 2024 Structural Fairness-Aware Active Learning for Graph Neural Networks Haoyu Han, Xiaorui Liu, Li Ma, MohamadAli Torkamani, Hui Liu, Jiliang Tang, Makoto Yamada

ICML 2023 Alternately Optimized Graph Neural Networks Haoyu Han, Xiaorui Liu, Haitao Mao, Mohamadali Torkamani, Feng Shi, Victor Lee, Jiliang Tang

ICML 2023 LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation Rui Xue, Haoyu Han, Mohamadali Torkamani, Jian Pei, Xiaorui Liu

NeurIPS 2023 Towards Label Position Bias in Graph Neural Networks Haoyu Han, Xiaorui Liu, Feng Shi, MohamadAli Torkamani, Charu Aggarwal, Jiliang Tang

AAAI 2020 Differential Equation Units: Learning Functional Forms of Activation Functions from Data MohamadAli Torkamani, Shiv Shankar, Amirmohammad Rooshenas, Phillip Wallis

ICML 2013 Convex Adversarial Collective Classification MohamadAli Torkamani, Daniel Lowd