Da Zheng
Cited by
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Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs.
M Wang, L Yu, D Zheng, Q Gan, Y Gai, Z Ye, M Li, J Zhou, Q Huang, C Ma, ...
FlashGraph: Processing billion-node graphs on an array of commodity SSDs
D Zheng, D Mhembere, R Burns, J Vogelstein, CE Priebe, AS Szalay
13th {USENIX} conference on file and storage technologies ({FAST} 15), 45-58, 2015
Deep graph library: A graph-centric, highly-performant package for graph neural networks
M Wang, D Zheng, Z Ye, Q Gan, M Li, X Song, J Zhou, C Ma, L Yu, Y Gai, ...
arXiv preprint arXiv:1909.01315, 2019
Toward millions of file system IOPS on low-cost, commodity hardware
D Zheng, R Burns, AS Szalay
SC'13: Proceedings of the International Conference on High Performance …, 2013
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
A parallel page cache: IOPS and caching for multicore systems
D Zheng, R Burns, AS Szalay
Proceedings of the 4th USENIX conference on Hot Topics in Storage and File …, 2012
Semi-external memory sparse matrix multiplication for billion-node graphs
D Zheng, D Mhembere, V Lyzinski, JT Vogelstein, CE Priebe, R Burns
IEEE Transactions on Parallel and Distributed Systems 28 (5), 1470-1483, 2016
Automatic parallelization of array-oriented programs for a multi-core machine
WM Ching, D Zheng
International Journal of Parallel Programming 40 (5), 514-531, 2012
Drkg-drug repurposing knowledge graph for covid-19
VN Ioannidis, X Song, S Manchanda, M Li, X Pan, D Zheng, X Ning, ...
arxiv, 2020
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
An SSD-based eigensolver for spectral analysis on billion-node graphs
D Zheng, R Burns, J Vogelstein, CE Priebe, AS Szalay
arXiv preprint arXiv:1602.01421, 2016
Collective multi-type entity alignment between knowledge graphs
Q Zhu, H Wei, B Sisman, D Zheng, C Faloutsos, XL Dong, J Han
Proceedings of The Web Conference 2020, 2241-2252, 2020
Learning graph neural networks with deep graph library
D Zheng, M Wang, Q Gan, Z Zhang, G Karypis
Companion Proceedings of the Web Conference 2020, 305-306, 2020
Active community detection in massive graphs
H Wang, D Zheng, R Burns, C Priebe
arXiv preprint arXiv:1412.8576, 2014
knor: a NUMA-optimized in-memory, distributed and semi-external-memory k-means library
D Mhembere, D Zheng, CE Priebe, JT Vogelstein, R Burns
Proceedings of the 26th International Symposium on High-Performance Parallel …, 2017
Few-shot link prediction via graph neural networks for covid-19 drug-repurposing
VN Ioannidis, D Zheng, G Karypis
arXiv preprint arXiv:2007.10261, 2020
Deep graph library, 2018
M Wang, L Yu, Q Gan, D Zheng, Y Gai, Z Ye, M Li, J Zhou, Q Huang, ...
URL http://dgl. ai, 0
FlashR: parallelize and scale R for machine learning using SSDs
D Zheng, D Mhembere, JT Vogelstein, CE Priebe, R Burns
Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of …, 2018
Distdgl: distributed graph neural network training for billion-scale graphs
D Zheng, C Ma, M Wang, J Zhou, Q Su, X Song, Q Gan, Z Zhang, ...
2020 IEEE/ACM 10th Workshop on Irregular Applications: Architectures and …, 2020
clusterNOR: a NUMA-optimized clustering framework
D Mhembere, D Zheng, CE Priebe, JT Vogelstein, R Burns
arXiv preprint arXiv:1902.09527, 2019
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