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
George Karypis — most-cited papers & profile · Graph Learning
← authors
·
overview
George Karypis
22
papers ·
329
citations ·
94
h-index
University of Minnesota · Amazon (United States) · University of Minnesota System · Indian Institute of Technology Delhi
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Heterogeneous Molecular Graph Neural Networks for Predicting Molecule Properties
2020 · 65 citations
Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning
2020 · 48 citations
Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs
2023 · 23 citations
HeMI: Multi-view Embedding in Heterogeneous Graphs
2021 · 2 citations
PanRep: Graph neural networks for extracting universal node embeddings in heterogeneous graphs
2020 · 1 citations
Position-based Hash Embeddings For Scaling Graph Neural Networks
2021
Scalable Consistency Training for Graph Neural Networks via Self-Ensemble Self-Distillation
2021
Nimble GNN Embedding with Tensor-Train Decomposition
2022
OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization
2023
Top co-authors
Da Zheng
· 4
Vassilis N. Ioannidis
· 4
Costas Mavromatis
· 3
Soji Adeshina
· 3
Christos Faloutsos
· 2
Shen Wang
· 2
Han Zhao
· 1
Hengrui Zhang
· 1
Jun Ma
· 1
Maria Kalantzi
· 1
Philip S. Yu
· 1
Xiao Qin
· 1
Topics
GNN Architectures
Self-Supervised & Contrastive
Molecular & Drug
Knowledge Graphs
Theory & Expressivity
Recommendation Graphs