| GraphBIG: understanding graph computing in the context of industrial solutions L Nai, Y Xia, IG Tanase, H Kim, CY Lin Proceedings of the International Conference for High Performance Computing …, 2015 | 166 | 2015 |
| LDBC Graphalytics: A benchmark for large-scale graph analysis on parallel and distributed platforms A Iosup, T Hegeman, WL Ngai, S Heldens, A Prat-Pérez, T Manhardto, ... Proceedings of the VLDB Endowment 9 (13), 1317-1328, 2016 | 126 | 2016 |
| Adaptive sampling schemes for clustering streaming graphs KL Wu, Y Xia US Patent 9,886,521, 2018 | 110 | 2018 |
| Topologically adaptive parallel breadth-first search on multicore processors Y Xia, VK Prasanna Proc. 21st Int’l. Conf. on Parallel and Distributed Computing Systems (PDCS’09), 2009 | 73 | 2009 |
| Labeling trick: A theory of using graph neural networks for multi-node representation learning M Zhang, P Li, Y Xia, K Wang, L Jin Advances in Neural Information Processing Systems 34, 9061-9073, 2021 | 63 | 2021 |
| Decoupling the depth and scope of graph neural networks H Zeng, M Zhang, Y Xia, A Srivastava, A Malevich, R Kannan, V Prasanna, ... Advances in Neural Information Processing Systems 34, 19665-19679, 2021 | 61 | 2021 |
| Insider threat prediction AR Coden, CY Lin, WY Lin, Y Xia US Patent 9,589,245, 2017 | 58 | 2017 |
| Revisiting graph neural networks for link prediction M Zhang, P Li, Y Xia, K Wang, L Jin | 56 | 2020 |
| Scalable spectral clustering using random binning features L Wu, PY Chen, IEH Yen, F Xu, Y Xia, C Aggarwal Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 37 | 2018 |
| Scalable global alignment graph kernel using random features: From node embedding to graph embedding L Wu, IEH Yen, Z Zhang, K Xu, L Zhao, X Peng, Y Xia, C Aggarwal Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 33 | 2019 |
| Sparkbench–a spark performance testing suite D Agrawal, A Butt, K Doshi, JL Larriba-Pey, M Li, FR Reiss, F Raab, ... Performance Evaluation and Benchmarking: Traditional to Big Data to Internet …, 2016 | 32 | 2016 |
| A message-passing multi-softcore architecture on FPGA for breadth-first search Q Wang, W Jiang, Y Xia, V Prasanna 2010 International Conference on Field-Programmable Technology, 70-77, 2010 | 32 | 2010 |
| Graph analytics and storage Y Xia, IG Tanase, L Nai, W Tan, Y Liu, J Crawford, CY Lin 2014 IEEE International Conference on Big Data (Big Data), 942-951, 2014 | 30 | 2014 |
| A highly efficient runtime and graph library for large scale graph analytics I Tanase, Y Xia, L Nai, Y Liu, W Tan, J Crawford, CY Lin Proceedings of Workshop on GRAph Data management Experiences and Systems, 1-6, 2014 | 28 | 2014 |
| Junction tree decomposition for parallel exact inference Y Xia, VK Prasanna 2008 IEEE International Symposium on Parallel and Distributed Processing, 1-12, 2008 | 28 | 2008 |
| Deep graph neural networks with shallow subgraph samplers H Zeng, M Zhang, Y Xia, A Srivastava, A Malevich, R Kannan, V Prasanna, ... arXiv preprint arXiv:2012.01380, 2020 | 27 | 2020 |
| Parallel exact inference on a CPU-GPGPU heterogenous system H Jeon, Y Xia, VK Prasanna 2010 39th International Conference on Parallel Processing, 61-70, 2010 | 27 | 2010 |
| Node level primitives for parallel exact inference Y Xia, VK Prasanna 19th International Symposium on Computer Architecture and High Performance …, 2007 | 27 | 2007 |
| Thermal face image use for health estimation JH Lai, Y Xia, JH Hsiao, Y Zhang US Patent App. 15/870,617, 2019 | 26 | 2019 |
| Parallel exact inference on the cell broadband engine processor Y Xia, VK Prasanna Journal of Parallel and Distributed Computing 70 (5), 558-572, 2010 | 26 | 2010 |
