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
Yuxuan Liang — most-cited papers & profile · Graph Learning
← authors
·
overview
Yuxuan Liang
43
papers ·
354
citations ·
39
h-index
Guangdong University of Technology · Beijing University of Posts and Telecommunications · Hong Kong University of Science and Technology · Guangzhou University · University of Hong Kong · South China University of Technology
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Directed Graph Convolutional Network
2020 · 65 citations
GraphCrop: Subgraph Cropping for Graph Classification
2020 · 21 citations
Do We Really Need Graph Neural Networks for Traffic Forecasting?
2023 · 9 citations
The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs
2024 · 2 citations
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness
2024 · 1 citations
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching
2024 · 1 citations
All Nodes are created Not Equal: Node-Specific Layer Aggregation and Filtration for GNN
2024 · 1 citations
Towards Scalable and Deep Graph Neural Networks via Noise Masking
2024 · 1 citations
Time-Aware Neighbor Sampling for Temporal Graph Networks
2021
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification
2024
Training-free Heterogeneous Graph Condensation via Data Selection
2024
Top co-authors
Bryan Hooi
· 3
Guibin Zhang
· 3
Junfeng Fang
· 2
Kai Wang
· 2
Roger Zimmermann
· 2
Shirui Pan
· 2
Xavier Bresson
· 2
Yujun Cai
· 2
Yunhai Tong
· 2
Andrew Lim
· 1
Bin Cui
· 1
Bin Cui
· 1
Topics
GNN Architectures
Theory & Expressivity
Temporal & Dynamic
Knowledge Graphs