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Wee Peng Tay — most-cited papers & profile · Graph Learning
← authors
·
overview
Wee Peng Tay
18
papers ·
21
citations ·
33
h-index
Nanyang Technological University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Attentive Graph Neural Networks for Few-Shot Learning
2020 · 6 citations
Learning on heterogeneous graphs using high-order relations
2021 · 4 citations
Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks
2023 · 3 citations
Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks
2023 · 2 citations
Node-Specific Space Selection via Localized Geometric Hyperbolicity in Graph Neural Networks
2023 · 1 citations
Graph Neural Convection-Diffusion with Heterophily
2023 · 1 citations
Simple Graph Contrastive Learning via Fractional-order Neural Diffusion Networks
2025
SGAT: Simplicial Graph Attention Network
2022
Distributional Signals for Node Classification in Graph Neural Networks
2023
Graph Neural Networks with a Distribution of Parametrized Graphs
2023
Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND
2024
Top co-authors
Feng Ji
· 8
Kai Zhao
· 6
Yang Song
· 3
Sijie Wang
· 2
Bihan Wen
· 1
Hao Cheng
· 1
Joey Tianyi Zhou
· 1
Kelin Xia
· 1
Rui She
· 1
Topics
GNN Architectures
Theory & Expressivity
Knowledge Graphs
Self-Supervised & Contrastive
Temporal & Dynamic