4 citations · 5 across the 5 of their papers we have counts for
5 papers
Multilevel Graph Wavelet Compressed Sensing with Scale-Aware Neural Recovery
Amirhossein Nouranizadeh, Sarang Rajendra Patil, Alan John Varghese +3
Scientific machine learning methods such as neural operators and physics-informed neural networks have advanced engineering applications and inverse problems, but their training ty…
BrainATCL: Adaptive Temporal Brain Connectivity Learning for Functional Link Prediction and Age Estimation
Yiran Huang, Amirhossein Nouranizadeh, Christine Ahrends +1
Functional Magnetic Resonance Imaging (fMRI) is an imaging technique widely used to study human brain activity. fMRI signals in areas across the brain transiently synchronise and d…
Contrastive Representation Learning for Dynamic Link Prediction in Temporal Networks
Amirhossein Nouranizadeh, Fatemeh Tabatabaei Far, Mohammad Rahmati
Evolving networks are complex data structures that emerge in a wide range of systems in science and engineering. Learning expressive representations for such networks that encode t…
Inverse Boundary Value and Optimal Control Problems on Graphs: A Neural and Numerical Synthesis
Mehdi Garrousian, Amirhossein Nouranizadeh
A general setup for deterministic system identification problems on graphs with Dirichlet and Neumann boundary conditions is introduced. When control nodes are available along the…
Maximum Entropy Weighted Independent Set Pooling for Graph Neural Networks
Amirhossein Nouranizadeh, Mohammadjavad Matinkia, Mohammad Rahmati +1
In this paper, we propose a novel pooling layer for graph neural networks based on maximizing the mutual information between the pooled graph and the input graph. Since the maximum…