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
Roger Wattenhofer — most-cited papers & profile · Graph Learning
← authors
·
overview
Roger Wattenhofer
39
papers ·
336
citations ·
69
h-index
Board of the Swiss Federal Institutes of Technology · ETH Zurich
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Towards Robust Graph Contrastive Learning
2021 · 28 citations
Contrastive Graph Neural Network Explanation
2020 · 12 citations
DT+GNN: A Fully Explainable Graph Neural Network using Decision Trees
2022 · 5 citations
Should Graph Neural Networks Use Features, Edges, Or Both?
2021 · 2 citations
Agent-based Graph Neural Networks
2022 · 2 citations
CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs
2024 · 2 citations
Graph Neural Networks with Precomputed Node Features
2022 · 1 citations
Learning Graph Algorithms With Recurrent Graph Neural Networks
2022 · 1 citations
Provably Powerful Graph Neural Networks for Directed Multigraphs
2023
Graphtester: Exploring Theoretical Boundaries of GNNs on Graph Datasets
2023
Flood and Echo Net: Algorithmically Aligned GNNs that Generalize
2023
Next Level Message-Passing with Hierarchical Support Graphs
2024
Top co-authors
Florian Gr\"otschla
· 5
Lukas Faber
· 4
Jo\"el Mathys
· 3
Beni Egressy
· 2
Karolis Martinkus
· 2
Amin K. Moghaddam
· 1
Benedikt Schesch
· 1
B\'eni Egressy
· 1
Carlos Vonessen
· 1
Eren Akbiyik
· 1
Erik Altman
· 1
Jovan Blanusa
· 1
Topics
GNN Architectures
Theory & Expressivity
Self-Supervised & Contrastive
Scene & Visual Graphs