Awesome Graph Learning
📄
Papers
🧭
Topics
🔥
Trending
🗺️
Map
🏆
Leaderboards
🎓
Learn
🤖
Ask AI
⋯
More
👥
Authors
📚
Reading Packs
📊
Datasets
🛠️
Tools
📰
News
📝
Blogs
✉️
Newsletter
🎯
Research Radar
🔖
Saved
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
🤖
Ask AI
Liang Chen — most-cited papers & profile · Graph Learning
← authors
·
overview
Liang Chen
41
papers ·
431
citations ·
0
h-index
Tongji University · ShangHai JiAi Genetics & IVF Institute
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
GraphGallery: A Platform for Fast Benchmarking and Easy Development of Graph Neural Networks Based Intelligent Software
2021 · 3 citations
Spectral Adversarial Training for Robust Graph Neural Network
2022 · 3 citations
FastGCL: Fast Self-Supervised Learning on Graphs via Contrastive Neighborhood Aggregation
2022 · 2 citations
GAIN: Graph Attention & Interaction Network for Inductive Semi-Supervised Learning over Large-scale Graphs
2020 · 1 citations
Spiking Heterogeneous Graph Attention Networks
2026
Self-supervised Graph Learning for Recommendation
2020
Oversmoothing: A Nightmare for Graph Contrastive Learning?
2023
SAILOR: Structural Augmentation Based Tail Node Representation Learning
2023
Hetero$^2$Net: Heterophily-aware Representation Learning on Heterogenerous Graphs
2023
The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation
2023
Top co-authors
Zibin Zheng
· 7
Yuchang Zhu
· 3
Kun Xu
· 2
Ruofan Wu
· 2
Baokun Wang
· 1
Bingzhe Wu
· 1
Changhua Meng
· 1
Fuli Feng
· 1
Jiancan Wu
· 1
Jianxun Lian
· 1
Jing Zhou
· 1
Liu Xiao
· 1
Topics
GNN Architectures
Knowledge Graphs
Self-Supervised & Contrastive
Theory & Expressivity
Recommendation Graphs