Arman Hasanzadeh

Computer Science · Physical Sciences

8h-index328citations20works0.02yr avg
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Research Topics

Advanced Graph Neural Networks(8), Bioinformatics and Genomic Networks(7), Computational Drug Discovery Methods(3), Neural Networks and Applications(3), Gene Regulatory Network Analysis(3)

Publications20 total

Adaptive Conditional Quantile Neural Processes
arXiv (Cornell University)·2023· 1 citedOpen Access
MoReL: Multi-omics Relational Learning
arXiv (Cornell University)·2022Open Access
Bayesian Graph Contrastive Learning
arXiv (Cornell University)·2021Open Access
BayReL: Bayesian Relational Learning for Multi-omics Data Integration
arXiv (Cornell University)·2020· 3 citedOpen Access
Bayesian Graph Neural Networks with Adaptive Connection Sampling
International Conference on Machine Learning·2020· 37 cited
Bayesian Graph Neural Networks with Adaptive Connection Sampling
arXiv (Cornell University)·2020· 17 citedOpen Access
Network-principled deep generative models for designing drug combinations as graph sets
Bioinformatics·2020· 41 citedOpen Access
Network-principled deep generative models for designing drug combinations as graph sets
2020· 2 citedOpen Access
Network-principled deep generative models for designing drug combinations as graph sets
arXiv (Cornell University)·2020Open Access
Semi-Implicit Stochastic Recurrent Neural Networks
2020· 3 cited
BayReL: Bayesian Relational Learning for Multi-omics Data Integration
Neural Information Processing Systems·2020
Piecewise Stationary Modeling of Random Processes Over Graphs With an Application to Traffic Prediction
2019· 3 citedOpen Access
Semi-Implicit Stochastic Recurrent Neural Networks
arXiv (Cornell University)·2019Open Access
Variational Graph Recurrent Neural Networks
arXiv (Cornell University)·2019· 84 citedOpen Access
Semi-Implicit Graph Variational Auto-Encoders
arXiv (Cornell University)·2019· 42 citedOpen Access
Spatially-Coupled Neural Network Architectures
arXiv (Cornell University)·2019Open Access
Fault Detection and Isolation in Industrial Networks using Graph Convolutional Neural Networks
2019· 29 cited
Variational Graph Recurrent Neural Networks
Neural Information Processing Systems·2019· 35 cited
Semi-Implicit Graph Variational Auto-Encoders
arXiv (Cornell University)·2019· 29 citedOpen Access
Rate Selection and Power Adaptation using Maximal Ratio Combining for the Random Access Gaussian Channel
arXiv (Cornell University)·2018· 2 citedOpen Access

Frequent Co-authors

Nick Duffield(14), Krishna R. Narayanan(14), Ehsan Hajiramezanali(12), Xiaoning Qian(11), Mingyuan Zhou(9), Mostafa Karimi(3), Yang Shen(3), Shahin Boluki(2), Hamed Khorasgani(1), Ahmed Farahat(1), Chetan Gupta(1), Xi Liu(1), Jean‐François Chamberland(1), Peiman Mohseni(1), Bani K. Mallick(1), Nagaraj Thenkarai Janakiraman(1), Vamsi K. Amalladinne(1), Mohammadreza Armandpour(1)