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, ... | 230 | 2019 |

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 | 215 | 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 | 99 | 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 | 55 | 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 | 26 | 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 | 26 | 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 | 21 | 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 | 19 | 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 | 17 | 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 | 12 | 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 | 12 | 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 | 9 | 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 | 7 | 2020 |

Active community detection in massive graphs H Wang, D Zheng, R Burns, C Priebe arXiv preprint arXiv:1412.8576, 2014 | 7 | 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 | 6 | 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 | 5 | 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 | 5 | |

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 | 4 | 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 | 3 | 2020 |

clusterNOR: a NUMA-optimized clustering framework D Mhembere, D Zheng, CE Priebe, JT Vogelstein, R Burns arXiv preprint arXiv:1902.09527, 2019 | 3 | 2019 |