MohamadAli Torkamani

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 9

Top Topics

Graph Representation

Activation Function

Ordinary Differential Equations

Top Venues

Publications

Haoyu Han, Xiaorui Liu, Li Ma, MohamadAli Torkamani, Hui Liu, Jiliang Tang, Makoto Yamada
Structural Fairness-aware Active Learning for Graph Neural Networks. ICLR (2024)
Haoyu Han, Xiaorui Liu, Haitao Mao, MohamadAli Torkamani, Feng Shi, Victor Lee, Jiliang Tang
Alternately Optimized Graph Neural Networks. ICML (2023)
Haoyu Han, Xiaorui Liu, Feng Shi, MohamadAli Torkamani, Charu C. Aggarwal, Jiliang Tang
Towards Label Position Bias in Graph Neural Networks. CoRR (2023)
Rui Xue, Haoyu Han, MohamadAli Torkamani, Jian Pei, Xiaorui Liu
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation. ICML (2023)
Rui Xue, Haoyu Han, MohamadAli Torkamani, Jian Pei, Xiaorui Liu
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation. CoRR (2023)
Haoyu Han, Xiaorui Liu, Feng Shi, MohamadAli Torkamani, Charu C. Aggarwal, Jiliang Tang
Towards Label Position Bias in Graph Neural Networks. NeurIPS (2023)
MohamadAli Torkamani, Shiv Shankar, Amirmohammad Rooshenas, Phillip Wallis
Differential Equation Units: Learning Functional Forms of Activation Functions from Data. AAAI (2020)
MohamadAli Torkamani, Phillip Wallis, Shiv Shankar, Amirmohammad Rooshenas
Learning Compact Neural Networks Using Ordinary Differential Equations as Activation Functions. CoRR (2019)
MohamadAli Torkamani, Shiv Shankar, Amirmohammad Rooshenas, Phillip Wallis
Differential Equation Units: Learning Functional Forms of Activation Functions from Data. CoRR (2019)
MohamadAli Torkamani, Daniel Lowd
On Robustness and Regularization of Structural Support Vector Machines. ICML (2014)
MohamadAli Torkamani, Daniel Lowd
Convex Adversarial Collective Classification. ICML (1) (2013)
MohamadAli Torkamani, Daniel Lowd
Convex Adversarial Collective Classification. StarAI@UAI (2012)