Learning On Heterogeneous Graphs Using High-Order Relations. - See Hian Lee; Feng Ji; Wee Peng Tay (ICASSP, 2021)

SGAT: Simplicial Graph Attention Network. - See Hian Lee; Feng Ji; Wee Peng Tay (IJCAI, 2022)

Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks. - Feng Ji; See Hian Lee; Hanyang Meng; Kai Zhao 010; Jielong Yang; Wee Peng Tay (ICML, 2023)

Distributional Signals for Node Classification in Graph Neural Networks. - Feng Ji; See Hian Lee; Kai Zhao 010; Wee Peng Tay; Jielong Yang (CoRR, 2023)

Graph Neural Networks with a Distribution of Parametrized Graphs. - See Hian Lee; Feng Ji; Kelin Xia; Wee Peng Tay (ICML, 2024)

Node-Specific Space Selection via Localized Geometric Hyperbolicity in Graph Neural Networks. - See Hian Lee; Feng Ji; Wee Peng Tay (Trans. Mach. Learn. Res., 2024)

Graph Distributional Signals for Regularization in Graph Neural Networks. - Feng Ji; Yanan Zhao 003; See Hian Lee; Kai Zhao 010; Wee Peng Tay; Jielong Yang (IEEE Trans. Signal Inf. Process. over Networks, 2025)