Wang, Minjie

8 publications

LoG 2025 DF-GNN: Dynamic Fusion Framework for Attention Graph Neural Networks on GPUs Jiahui Liu, Zhenkun Cai, Zhiyong Chen, Minjie Wang

ICML 2025 Griffin: Towards a Graph-Centric Relational Database Foundation Model Yanbo Wang, Xiyuan Wang, Quan Gan, Minjie Wang, Qibin Yang, David Wipf, Muhan Zhang

ICLR 2025 MuseGNN: Forming Scalable, Convergent GNN Layers That Minimize a Sampling-Based Energy Haitian Jiang, Renjie Liu, Zengfeng Huang, Yichuan Wang, Xiao Yan, Zhenkun Cai, Minjie Wang, David Wipf

NeurIPS 2024 4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs Minjie Wang, Quan Gan, David Wipf, Zhenkun Cai, Ning Li, Jianheng Tang, Yanlin Zhang, Zizhao Zhang, Zunyao Mao, Yakun Song, Yanbo Wang, Jiahang Li, Han Zhang, Guang Yang, Xiao Qin, Chuan Lei, Muhan Zhang, Weinan Zhang, Christos Faloutsos, Zheng Zhang

JMLR 2024 Causal Discovery with Generalized Linear Models Through Peeling Algorithms Minjie Wang, Xiaotong Shen, Wei Pan

AISTATS 2024 Graph Machine Learning Through the Lens of Bilevel Optimization Amber Yijia Zheng, Tong He, Yixuan Qiu, Minjie Wang, David Wipf

LoG 2022 CEP3: Community Event Prediction with Neural Point Process on Graph Xuhong Wang, Sirui Chen, Yixuan He, Minjie Wang, Quan Gan, Junchi Yan

JMLR 2021 Integrative Generalized Convex Clustering Optimization and Feature Selection for Mixed Multi-View Data Minjie Wang, Genevera I. Allen