Johannes Klicpera

Publication Activity (10 Years)

Years Active: 2018-2021
Publications (10 Years): 16

Top Topics

Betweenness Centrality

Graph Representation

Top Venues

Publications

Johannes Klicpera, Marten Lienen, Stephan Günnemann
Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More. ICML (2021)
Johannes Klicpera, Chandan Yeshwanth, Stephan Günnemann
Directional Message Passing on Molecular Graphs via Synthetic Coordinates. CoRR (2021)
Jan Schuchardt, Aleksandar Bojchevski, Johannes Klicpera, Stephan Günnemann
Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks. ICLR (2021)
Johannes Klicpera, Marten Lienen, Stephan Günnemann
Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More. CoRR (2021)
Johannes Klicpera, Florian Becker, Stephan Günnemann
GemNet: Universal Directional Graph Neural Networks for Molecules. CoRR (2021)
Aleksandar Bojchevski, Johannes Klicpera, Bryan Perozzi, Amol Kapoor, Martin Blais, Benedek Rózemberczki, Michal Lukasik, Stephan Günnemann
Scaling Graph Neural Networks with Approximate PageRank. CoRR (2020)
Johannes Klicpera, Janek Groß, Stephan Günnemann
Directional Message Passing for Molecular Graphs. CoRR (2020)
Johannes Klicpera, Shankari Giri, Johannes T. Margraf, Stephan Günnemann
Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules. CoRR (2020)
Aleksandar Bojchevski, Johannes Klicpera, Stephan Günnemann
Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More. CoRR (2020)
Aleksandar Bojchevski, Johannes Klicpera, Stephan Günnemann
Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More. ICML (2020)
Aleksandar Bojchevski, Johannes Klicpera, Bryan Perozzi, Amol Kapoor, Martin Blais, Benedek Rózemberczki, Michal Lukasik, Stephan Günnemann
Scaling Graph Neural Networks with Approximate PageRank. KDD (2020)
Johannes Klicpera, Janek Groß, Stephan Günnemann
Directional Message Passing for Molecular Graphs. ICLR (2020)
Johannes Klicpera, Stefan Weißenberger, Stephan Günnemann
Diffusion Improves Graph Learning. CoRR (2019)
Johannes Klicpera, Stefan Weißenberger, Stephan Günnemann
Diffusion Improves Graph Learning. NeurIPS (2019)
Johannes Klicpera, Aleksandar Bojchevski, Stephan Günnemann
Predict then Propagate: Graph Neural Networks meet Personalized PageRank. ICLR (Poster) (2019)
Johannes Klicpera, Aleksandar Bojchevski, Stephan Günnemann
Personalized Embedding Propagation: Combining Neural Networks on Graphs with Personalized PageRank. CoRR (2018)