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Junbin Gao — most-cited papers & profile · Graph Learning
← authors
·
overview
Junbin Gao
29
papers ·
63
citations ·
52
h-index
The University of Sydney
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding Representations
2024 · 9 citations
How Framelets Enhance Graph Neural Networks
2021 · 9 citations
Unifying over-smoothing and over-squashing in graph neural networks: A physics informed approach and beyond
2023 · 4 citations
How Neural Processes Improve Graph Link Prediction
2021 · 3 citations
Exploiting Neighbor Effect: Conv-Agnostic GNNs Framework for Graphs with Heterophily
2022 · 3 citations
Design Your Own Universe: A Physics-Informed Agnostic Method for Enhancing Graph Neural Networks
2024 · 3 citations
Graph Decoupling Attention Markov Networks for Semi-supervised Graph Node Classification
2021 · 2 citations
Generalized energy and gradient flow via graph framelets
2022 · 2 citations
From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond
2023 · 2 citations
Wasserstein Adversarially Regularized Graph Autoencoder
2021 · 1 citations
WATS: Calibrating Graph Neural Networks with Wavelet-Aware Temperature Scaling
2025
Contrastive Learning Meets Pseudo-label-assisted Mixup Augmentation: A Comprehensive Graph Representation Framework from Local to Global
2025
How Curvature Enhance the Adaptation Power of Framelet GCNs
2023
Bregman Graph Neural Network
2023
When Graph Neural Networks Meet Dynamic Mode Decomposition
2024
Top co-authors
Andi Han
· 5
Lequan Lin
· 4
Dai Shi
· 3
Yanfeng Sun
· 3
Zhiqi Shao
· 3
Baocai Yin
· 2
Dai Shi
· 2
Dai Shi
· 2
Huidong Liang
· 2
Jian Pu
· 2
Jie Chen
· 2
Jinlu Wang
· 2
Topics
GNN Architectures
Theory & Expressivity
Self-Supervised & Contrastive
Temporal & Dynamic
Knowledge Graphs