| Deep graph library: A graph-centric, highly-performant package for graph neural networks M Wang, D Zheng, Z Ye, Q Gan, M Li, X Song, J Zhou, C Ma, L Yu, Y Gai, ... arXiv preprint arXiv:1909.01315, 2019 | 1156 | 2019 |
| Limiting cache-based side-channel in multi-tenant cloud using dynamic page coloring J Shi, X Song, H Chen, B Zang 2011 IEEE/IFIP 41st International Conference on Dependable Systems and …, 2011 | 221 | 2011 |
| Repurpose Open Data to Discover Therapeutics for COVID-19 Using Deep Learning X Zeng, X Song, T Ma, X Pan, Y Zhou, Y Hou, Z Zhang, K Li, G Karypis, ... Journal of Proteome Research, 2020 | 216 | 2020 |
| Dgl-ke: Training knowledge graph embeddings at scale D Zheng, X Song, C Ma, Z Tan, Z Ye, J Dong, H Xiong, Z Zhang, ... Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020 | 179 | 2020 |
| Distdgl: distributed graph neural network training for billion-scale graphs D Zheng, C Ma, M Wang, J Zhou, Q Su, X Song, Q Gan, Z Zhang, ... 2020 IEEE/ACM 10th Workshop on Irregular Applications: Architectures and …, 2020 | 129* | 2020 |
| Drkg-drug repurposing knowledge graph for covid-19 VN Ioannidis, X Song, S Manchanda, M Li, X Pan, D Zheng, X Ning, ... arXiv preprint arXiv:2010.09600, 2020 | 101 | 2020 |
| COVID-19 knowledge graph: accelerating information retrieval and discovery for scientific literature C Wise, VN Ioannidis, MR Calvo, X Song, G Price, N Kulkarni, R Brand, ... arXiv preprint arXiv:2007.12731, 2020 | 89 | 2020 |
| Parallelizing live migration of virtual machines X Song, J Shi, R Liu, J Yang, H Chen Proceedings of the 9th ACM SIGPLAN/SIGOPS international conference on …, 2013 | 79 | 2013 |
| Schedule processes, not VCPUs X Song, J Shi, H Chen, B Zang Proceedings of the 4th Asia-Pacific Workshop on Systems, 1-7, 2013 | 70 | 2013 |
| A case for scaling applications to many-core with OS clustering X Song, H Chen, R Chen, Y Wang, B Zang Proceedings of the sixth conference on Computer systems, 61-76, 2011 | 59 | 2011 |
| Tgl: A general framework for temporal gnn training on billion-scale graphs H Zhou, D Zheng, I Nisa, V Ioannidis, X Song, G Karypis arXiv preprint arXiv:2203.14883, 2022 | 58 | 2022 |
| Heterogeneous live migration of virtual machines P Liu, Z Yang, X Song, Y Zhou, H Chen, B Zang International Workshop on Virtualization Technology (IWVT’08), 2008 | 54 | 2008 |
| Architecting flash-based solid-state drive for high-performance I/O virtualization X Song, J Yang, H Chen IEEE Computer Architecture Letters 13 (2), 61-64, 2013 | 47 | 2013 |
| Characterizing the performance and scalability of many-core applications on virtualized platforms X Song, H Chen, B Zang, X Song, H Chen, B Zang Parallel Processing Institute Technical Report Number: FDUPPITR-2010 2, 2010 | 34 | 2010 |
| Why software hangs and what can be done with it X Song, H Chen, B Zang 2010 IEEE/IFIP International Conference on Dependable Systems & Networks …, 2010 | 28 | 2010 |
| Distributed hybrid CPU and GPU training for graph neural networks on billion-scale graphs D Zheng, X Song, C Yang, D LaSalle, Q Su, M Wang, C Ma, G Karypis KDD '22: Proceedings of the 28th ACM SIGKDD Conference on Knowledge …, 2021 | 23* | 2021 |
| Scalable graph neural networks with deep graph library D Zheng, M Wang, Q Gan, X Song, Z Zhang, G Karypis Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021 | 21 | 2021 |
| Page-link: Path-based graph neural network explanation for heterogeneous link prediction S Zhang, J Zhang, X Song, S Adeshina, D Zheng, C Faloutsos, Y Sun Proceedings of the ACM Web Conference 2023, 3784-3793, 2023 | 16 | 2023 |
| Igb: Addressing the gaps in labeling, features, heterogeneity, and size of public graph datasets for deep learning research A Khatua, VS Mailthody, B Taleka, T Ma, X Song, W Hwu Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 14 | 2023 |
| DSP: Efficient GNN training with multiple GPUs Z Cai, Q Zhou, X Yan, D Zheng, X Song, C Zheng, J Cheng, G Karypis Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and …, 2023 | 12 | 2023 |
George KarypisDistinguished McKnight University Professor, University of Minnesota; SPS, AWSDirección de correo verificada de umn.edu
