ByteGNN: efficient graph neural network training at large scale C Zheng, H Chen, Y Cheng, Z Song, Y Wu, C Li, J Cheng, H Yang, ... Proceedings of the VLDB Endowment 15 (6), 1228-1242, 2022 | 87 | 2022 |
A Representation Learning Framework for Property Graphs Y Hou, H Chen, C Li, J Cheng, MC Yang Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 45 | 2019 |
ByteGraph: a high-performance distributed graph database in ByteDance C Li, H Chen, S Zhang, Y Hu, C Chen, Z Zhang, M Li, X Li, D Han, X Chen, ... Proceedings of the VLDB Endowment 15 (12), 3306-3318, 2022 | 22 | 2022 |
Grasper: A High Performance Distributed System for OLAP on Property Graphs H Chen, C Li, J Fang, C Huang, J Cheng, J Zhang, Y Hou, X Yan Proceedings of the ACM Symposium on Cloud Computing, 87-100, 2019 | 21 | 2019 |
G-tran: a high performance distributed graph database with a decentralized architecture H Chen, C Li, C Zheng, C Huang, J Fang, J Cheng, J Zhang Proceedings of the VLDB Endowment 15 (11), 2545-2558, 2022 | 16 | 2022 |
High Performance Distributed OLAP on Property Graphs with Grasper H Chen, B Wu, S Deng, C Huang, C Li, Y Li, J Cheng Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 13 | 2020 |
Large Scale Graph Mining with G-Miner H Chen, X Wang, C Huang, J Fang, Y Hou, C Li, J Cheng Proceedings of the 2019 International Conference on Management of Data, 1881 …, 2019 | 13 | 2019 |
G-Tran: Making Distributed Graph Transactions Fast H Chen, C Li, C Zheng, C Huang, J Fang, J Cheng, J Zhang arXiv preprint arXiv:2105.04449, 2021 | 4 | 2021 |