A subgraph sampling method for training large-scale graph convolutional network. - Qi Zhang 095; Yanfeng Sun; Yongli Hu; Shaofan Wang; Baocai Yin (Inf. Sci., 2023)

AutoFGNN: A Framework for Extracting All Frequency Information from Large-Scale Graphs. - Qi Zhang 095; Yanfeng Sun; Jipeng Guo 001; Shaofan Wang; Jinghua Li; Junbin Gao; Baocai Yin (ICASSP, 2024)

Beyond low-pass filtering on large-scale graphs via Adaptive Filtering Graph Neural Networks. - Qi Zhang 095; Jinghua Li; Yanfeng Sun; Shaofan Wang; Junbin Gao; Baocai Yin (Neural Networks, 2024)

BiFormer: A Bipartite-stream Information Fusion framework for large-scale graph representation learning. - Qi Zhang 095; Yanfeng Sun; Shaofan Wang; Junbin Gao; Baocai Yin (Neural Networks, 2025)

Training Large-Scale Graph Neural Networks via Graph Partial Pooling. - Qi Zhang 095; Yanfeng Sun; Shaofan Wang; Junbin Gao; Yongli Hu; Baocai Yin (IEEE Trans. Big Data, 2025)