| Neural, symbolic and neural-symbolic reasoning on knowledge graphs J Zhang, B Chen, L Zhang, X Ke, H Ding AI Open 2, 14-35, 2021 | 126 | 2021 |
| Neural-symbolic reasoning on knowledge graphs J Zhang, B Chen, L Zhang, X Ke, H Ding CoRR abs/2010.05446, 2020 | 7 | 2020 |
| Optimizing random access to hierarchically-compressed data on GPU F Zhang, Y Hu, H Ding, Z Yao, Z Wei, X Zhang, X Du SC22: International Conference for High Performance Computing, Networking …, 2022 | 5 | 2022 |
| Enabling Efficient Random Access to Hierarchically Compressed Text Data on Diverse GPU Platforms Y Hu, F Zhang, Y Xia, Z Yao, L Zeng, H Ding, Z Wei, X Zhang, J Zhai, X Du, ... IEEE Transactions on Parallel and Distributed Systems, 2023 | 1 | 2023 |
| Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification: Technical Report H Ding, Z Wei, Y Ye arXiv preprint arXiv:2501.04570, 2025 | | 2025 |
| Scalable and Effective Graph Neural Networks via Trainable Random Walk Sampling H Ding, Z Wei, Y Ye IEEE Transactions on Knowledge and Data Engineering, 2024 | | 2024 |
| SheAttack: A Silhouette Score Motivated Restricted Black-Box Attack on Graphs R Lei, H Ding, Z Wei | | |
| Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification H Ding, Z Wei, Y Ye | | |
