Jian Zhang

According to our database, Jian Zhang authored at least 6 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Relatron: Automating Relational Machine Learning over Relational Databases.

Zhikai Chen, Han Xie, Jian Zhang, Jiliang Tang, Xiang Song, Huzefa Rangwala

CoRR, February, 2026

2025

AutoG: Towards automatic graph construction from tabular data.

Zhikai Chen, Han Xie, Jian Zhang, Xiang Song, Jiliang Tang, Huzefa Rangwala, George Karypis

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications.

Da Zheng, Xiang Song, Qi Zhu, Jian Zhang, Theodore Vasiloudis, Runjie Ma, Houyu Zhang, Zichen Wang, Soji Adeshina, Israt Nisa, Alejandro Mottini, Qingjun Cui, Huzefa Rangwala, Belinda Zeng, Christos Faloutsos, George Karypis

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

NetInfoF Framework: Measuring and Exploiting Network Usable Information.

Meng-Chieh Lee, Haiyang Yu, Jian Zhang, Vassilis N. Ioannidis, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

GraphStorm an Easy-to-use and Scalable Graph Neural Network Framework: From Beginners to Heroes.

Jian Zhang, Da Zheng, Xiang Song, Theodore Vasiloudis, Israt Nisa, Jim Lu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

PropInit: Scalable Inductive Initialization for Heterogeneous Graph Neural Networks.

Soji Adeshina, Jian Zhang, Muhyun Kim, Min Chen, Rizal Fathony, Advitiya Vashisht, Jia Chen, George Karypis

Proceedings of the IEEE International Conference on Knowledge Graph, 2022