Operation-Level Performance Benchmarking of Graph Neural Networks for Scientific Applications. - Ryien Hosseini; Filippo Simini; Venkatram Vishwanath (CoRR, 2022)

Deep Surrogate Docking: Accelerating Automated Drug Discovery with Graph Neural Networks. - Ryien Hosseini; Filippo Simini; Austin Clyde; Arvind Ramanathan (CoRR, 2022)

Exploring the Use of Dataflow Architectures for Graph Neural Network Workloads. - Ryien Hosseini; Filippo Simini; Venkatram Vishwanath; Ramakrishnan Sivakumar; Sanjif Shanmugavelu; Zhengyu Chen; Lev Zlotnik; Mingran Wang; Philip Colangelo; Andrew Deng; Philip Lassen; Shukur Pathan (ISC Workshops, 2023)

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation. - Ryien Hosseini; Filippo Simini; Venkatram Vishwanath; Henry Hoffmann (AAAI, 2025)

Quality Measures for Dynamic Graph Generative Models. - Ryien Hosseini; Filippo Simini; Venkatram Vishwanath; Rebecca Willett; Henry Hoffmann (ICLR, 2025)