LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation. - Rui Xue 006; Haoyu Han 001; MohamadAli Torkamani; Jian Pei 001; Xiaorui Liu (ICML, 2023)

Large-Scale Graph Neural Networks: The Past and New Frontiers. - Rui Xue 006; Haoyu Han 001; Tong Zhao 003; Neil Shah; Jiliang Tang; Xiaorui Liu (KDD, 2023)

Efficient Large Language Models Fine-Tuning On Graphs. - Rui Xue 006; Xipeng Shen; Ruozhou Yu; Xiaorui Liu (CoRR, 2023)

Linear-Time Graph Neural Networks for Scalable Recommendations. - Jiahao Zhang; Rui Xue 006; Wenqi Fan; Xin Xu 002; Qing Li 001; Jian Pei 001; Xiaorui Liu (WWW, 2024)

Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks. - Rui Xue 006; Tong Zhao 003; Neil Shah; Xiaorui Liu (CoRR, 2024)