| Graphsaint: Graph sampling based inductive learning method H Zeng, H Zhou, A Srivastava, R Kannan, V Prasanna 2020 International Conference on Learning Representations (ICLR), 2019 | 973 | 2019 |
| Accurate, efficient and scalable graph embedding H Zeng, H Zhou, A Srivastava, R Kannan, V Prasanna 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2019 | 78 | 2019 |
| Tgl: A general framework for temporal gnn training on billion-scale graphs H Zhou, D Zheng, I Nisa, V Ioannidis, X Song, G Karypis 2022 Proceedings of the VLDB Endowment (VLDB), 2022 | 58 | 2022 |
| Accelerating large scale real-time GNN inference using channel pruning H Zhou, A Srivastava, H Zeng, R Kannan, V Prasanna 2021 Proceedings of the VLDB Endowment (VLDB), 2021 | 50 | 2021 |
| Model-architecture co-design for high performance temporal gnn inference on fpga H Zhou, B Zhang, R Kannan, V Prasanna, C Busart 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2022 | 18 | 2022 |
| Accurate, efficient and scalable training of Graph Neural Networks H Zeng, H Zhou, A Srivastava, R Kannan, V Prasanna Journal of Parallel and Distributed Computing 147, 166-183, 2021 | 11 | 2021 |
| Design and Implementation of Knowledge Base for Runtime Management of Software Defined Hardware H Zhou, A Srivastava, R Kannan, V Prasanna 2019 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2019 | 5 | 2019 |
| Sedyt: A general framework for multi-step event forecasting via sequence modeling on dynamic entity embeddings H Zhou, J Orme-Rogers, R Kannan, V Prasanna Proceedings of the 30th ACM International Conference on Information …, 2021 | 4 | 2021 |
| DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training H Zhou, D Zheng, X Song, G Karypis, V Prasanna Proceedings of the International Conference for High Performance Computing …, 2023 | 3 | 2023 |
| HTNet: Dynamic WLAN Performance Prediction using Heterogenous Temporal GNN H Zhou, R Kannan, A Swami, V Prasanna 2023 IEEE International Conference on Computer Communications (InfoCom), 2023 | 2 | 2023 |
| Throughput optimization in heterogeneous MIMO networks: a GNN-based approach TY Wang, H Zhou, R Kannan, A Swami, V Prasanna Proceedings of the 1st International Workshop on Graph Neural Networking, 42-47, 2022 | 2 | 2022 |
| TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning G Deng, H Zhou, H Zeng, Y Xia, C Leung, J Li, R Kannan, V Prasanna 2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2024 | | 2024 |
| An Efficient Distributed Graph Engine for Deep Learning on Graphs G Deng, ÖF Akgül, H Zhou, H Zeng, Y Xia, J Li, V Prasanna Proceedings of the SC'23 Workshops of The International Conference on High …, 2023 | | 2023 |
