| 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 | 82 | 2022 |
| Seastar: vertex-centric programming for graph neural networks Y Wu, K Ma, Z Cai, T Jin, B Li, C Zheng, J Cheng, F Yu Proceedings of the Sixteenth European Conference on Computer Systems, 359-375, 2021 | 61 | 2021 |
| Improving resource utilization by timely fine-grained scheduling T Jin, Z Cai, B Li, C Zheng, G Jiang, J Cheng Proceedings of the Fifteenth European Conference on Computer Systems, 1-16, 2020 | 37 | 2020 |
| 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 | 27 | 2023 |
| 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 | 19 | 2022 |
| 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 | 15 | 2022 |
| 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 |
| Systems for Scalable Graph Analytics and Machine Learning: Trends and Methods D Yan, L Yuan, A Ahmad, C Zheng, H Chen, J Cheng Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | | 2024 |
| GE2: A General and Efficient Knowledge Graph Embedding Learning System C Zheng, G Jiang, X Yan, P Yin, Q Zhou, J Cheng Proceedings of the ACM on Management of Data 2 (3), 1-27, 2024 | | 2024 |