PropInit: Scalable Inductive Initialization for Heterogeneous Graph Neural Networks. - Soji Adeshina; Jian Zhang 113; Muhyun Kim; Min Chen; Rizal Fathony; Advitiya Vashisht; Jia Chen; George Karypis (ICKG, 2022)

GraphStorm an Easy-to-use and Scalable Graph Neural Network Framework: From Beginners to Heroes. - Jian Zhang 113; Da Zheng 004; Xiang Song 003; Theodore Vasiloudis; Israt Nisa; Jim Lu (KDD, 2023)

NetInfoF Framework: Measuring and Exploiting Network Usable Information. - Meng-Chieh Lee; Haiyang Yu; Jian Zhang 113; Vassilis N. Ioannidis; Xiang Song 003; Soji Adeshina; Da Zheng 004; Christos Faloutsos (ICLR, 2024)

GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications. - Da Zheng 004; Xiang Song 003; Qi Zhu 008; Jian Zhang 113; Theodore Vasiloudis; Runjie Ma; Houyu Zhang; Zichen Wang 002; Soji Adeshina; Israt Nisa; Alejandro Mottini; Qingjun Cui; et al. (KDD, 2024)

AutoG: Towards automatic graph construction from tabular data. - Zhikai Chen; Han Xie; Jian Zhang 113; Xiang Song 003; Jiliang Tang; Huzefa Rangwala; George Karypis (ICLR, 2025)