See Hian Lee

12 papers A* 3Misc 1Journal 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
Graph Distributional Signals for Regularization in Graph Neural Networks.
IEEE Trans. Signal Inf. Process. over Networks
Feng Ji, Yanan Zhao, See Hian Lee, Kai Zhao, Wee Peng Tay, Jielong Yang
2024 A* conf
Graph Neural Networks with a Distribution of Parametrized Graphs.
ICML
See Hian Lee, Feng Ji, Kelin Xia, Wee Peng Tay
2024 J jnl
Node-Specific Space Selection via Localized Geometric Hyperbolicity in Graph Neural Networks.
Trans. Mach. Learn. Res.
See Hian Lee, Feng Ji, Wee Peng Tay
2023 J jnl
Distributional Signals for Node Classification in Graph Neural Networks.
CoRR
Feng Ji, See Hian Lee, Kai Zhao, Wee Peng Tay, Jielong Yang
2023 J jnl
Graph Neural Networks with a Distribution of Parametrized Graphs.
CoRR
See Hian Lee, Feng Ji, Kelin Xia, Wee Peng Tay
2023 A* conf
Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks.
ICML
Feng Ji, See Hian Lee, Hanyang Meng, Kai Zhao, Jielong Yang, Wee Peng Tay
2023 J jnl
Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks.
CoRR
Feng Ji, See Hian Lee, Hanyang Meng, Kai Zhao, Jielong Yang, Wee Peng Tay
2023 J jnl
Node-Specific Space Selection via Localized Geometric Hyperbolicity in Graph Neural Networks.
CoRR
See Hian Lee, Feng Ji, Wee Peng Tay
2022 A* conf
SGAT: Simplicial Graph Attention Network.
IJCAI
See Hian Lee, Feng Ji, Wee Peng Tay
2022 J jnl
SGAT: Simplicial Graph Attention Network.
CoRR
See Hian Lee, Feng Ji, Wee Peng Tay
2021 Misc conf
Learning On Heterogeneous Graphs Using High-Order Relations.
ICASSP
See Hian Lee, Feng Ji, Wee Peng Tay
2021 J jnl
Learning on heterogeneous graphs using high-order relations.
CoRR
See Hian Lee, Feng Ji, Wee Peng Tay