Zihao Ye
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Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
M Wang, D Zheng, Z Ye, Q Gan, M Li, J Zhou, C Ma, L Yu, Y Gai, T Xiao, ...
arXiv preprint arXiv:1909.01315, 0
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
BP-Transformer: Modelling Long-Range Context via Binary Partitioning
Z Ye, Q Guo, Q Gan, X Qiu, Z Zhang
arXiv preprint arXiv:1911.04070, 2019
Featgraph: A flexible and efficient backend for graph neural network systems
Y Hu, Z Ye, M Wang, J Yu, D Zheng, M Li, Z Zhang, Z Zhang, Y Wang
SC20: International Conference for High Performance Computing, Networking …, 2020
Graphiler: Optimizing Graph Neural Networks with Message Passing Data Flow Graph
Z Xie, M Wang, Z Ye, Z Zhang, R Fan
Proceedings of Machine Learning and Systems 4, 515-528, 2022
TensorIR: An Abstraction for Automatic Tensorized Program Optimization
S Feng, B Hou, H Jin, W Lin, J Shao, R Lai, Z Ye, L Zheng, CH Yu, Y Yu, ...
arXiv preprint arXiv:2207.04296, 2022
SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning
Z Ye, R Lai, J Shao, T Chen, L Ceze
arXiv preprint arXiv 2207.04606, 2022
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