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Hanghang Tong — most-cited papers & profile · Graph Learning
← authors
·
overview
Hanghang Tong
31
papers ·
110
citations ·
61
h-index
Urbana University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
STERLING: Synergistic Representation Learning on Bipartite Graphs
2023 · 3 citations
Hypergraph Pre-training with Graph Neural Networks
2021 · 2 citations
Detecting Topology Attacks against Graph Neural Networks
2022 · 2 citations
BeMap: Balanced Message Passing for Fair Graph Neural Network
2023 · 2 citations
Deep Graph Anomaly Detection: A Survey and New Perspectives
2024 · 2 citations
THeGCN: Temporal Heterophilic Graph Convolutional Network
2024 · 1 citations
Certified Defense on the Fairness of Graph Neural Networks
2023 · 1 citations
Graph homophily booster: Reimagining the role of discrete features in heterophilic graph learning
2026
Graph Homophily Booster: Rethinking the Role of Discrete Features on Heterophilic Graphs
2025
Graph Communal Contrastive Learning
2021
Optimal Propagation for Graph Neural Networks
2022
Neural Multi-network Diffusion towards Social Recommendation
2023
Top co-authors
Baoyu Jing
· 2
Gaotang Li
· 2
Liangyue Li
· 2
Lihui Liu
· 2
Ruizhong Qiu
· 2
Ting-Wei Li
· 2
Yuchen Yan
· 2
Zhe Xu
· 2
Binchi Zhang
· 1
Bo An
· 1
Chanyoung Park
· 1
Charu Aggarwal
· 1
Topics
GNN Architectures
Theory & Expressivity
Self-Supervised & Contrastive
Knowledge Graphs
Temporal & Dynamic
Recommendation Graphs