Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs. - Minjie Wang; Lingfan Yu; Da Zheng; Quan Gan; Yu Gai; Zihao Ye 001; Mufei Li; Jinjing Zhou; Qi Huang 001; Chao Ma 025; Ziyue Huang; Qipeng Guo; et al. (CoRR, 2019)

DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs. - Da Zheng; Chao Ma 025; Minjie Wang; Jinjing Zhou; Qidong Su; Xiang Song 003; Quan Gan; Zheng Zhang 001; George Karypis (IA3@SC, 2020)

DGL-KE: Training Knowledge Graph Embeddings at Scale. - Da Zheng; Xiang Song 003; Chao Ma 025; Zeyuan Tan; Zihao Ye 001; Jin Dong; Hao Xiong; Zheng Zhang 001; George Karypis (SIGIR, 2020)

Distributed Hybrid CPU and GPU training for Graph Neural Networks on Billion-Scale Graphs. - Da Zheng; Xiang Song 003; Chengru Yang; Dominique LaSalle; Qidong Su; Minjie Wang; Chao Ma 025; George Karypis (CoRR, 2021)