Prasanna, Viktor

5 publications

UAI 2025 Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information Ömer Faruk Akgül, Rajgopal Kannan, Viktor Prasanna

NeurIPS 2025 Mixture of Scope Experts at Test: Generalizing Deeper Graph Neural Networks with Shallow Variants Gangda Deng, Hongkuan Zhou, Rajgopal Kannan, Viktor Prasanna

ACML 2022 Learning Practical Communication Strategies in Cooperative Multi-Agent Reinforcement Learning Diyi Hu, Chi Zhang, Viktor Prasanna, Bhaskar Krishnamachari

NeurIPS 2021 Decoupling the Depth and Scope of Graph Neural Networks Hanqing Zeng, Muhan Zhang, Yinglong Xia, Ajitesh Srivastava, Andrey Malevich, Rajgopal Kannan, Viktor Prasanna, Long Jin, Ren Chen

ICLR 2020 GraphSAINT: Graph Sampling Based Inductive Learning Method Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor Prasanna