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← Authors

Johannes Gasteiger

13 papers · 2019–2025 · 4 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+6 more ↓ 🌍 Conference Polyglot (4) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (6)
🗺️ Taxonomy Completionist (15) 🌍 Conference Polyglot (4) 🏃 Academic Marathon (6) 🤝 Dynamic Duo (11) 👑 Triple Crown 💎 Century Club (13)

Conferences

ICML (5) NIPS (4) ICLR (3) UAI (1)

Top co-authors

Stephan Günnemann (11) Aleksandar Bojchevski (3) Vincent Cohen-Addad (2) Simon Geisler (2) Tom Wollschläger (2) Joshua V. Dillon (1) Sami Abu-El-Haija (1) Kyriakos Axiotis (1) Stefan Weißenberger (1) M. H. I. Abdalla (1)

Keywords

graph neural network (7) energy prediction (2) molecular property prediction (2) personalized pagerank (2) message passing (2) geometric deep learning (1) locality sensitive hashing (1) generative framework (1) graph diffusion (1) spectral method (1) entropy regularization (1) randomized smoothing (1) molecular graph (1) molecular dynamics (1) embedding alignment (1) graph convolution (1) equivariant representation (1) discrete datum (1) convex combination (1) word embedding (1)

Papers

The Geometry of Refusal in Large Language Models: Concept Cones and Representational Independence ICML 2025 REINFORCE Adversarial Attacks on Large Language Models: An Adaptive, Distributional, and Semantic Objective ICML 2025 Ewald-based Long-Range Message Passing for Molecular Graphs ICML 2023 Accelerating Molecular Graph Neural Networks via Knowledge Distillation NIPS 2023 SubMix: Learning to Mix Graph Sampling Heuristics UAI 2023 Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks ICLR 2021 GemNet: Universal Directional Graph Neural Networks for Molecules NIPS 2021 Directional Message Passing on Molecular Graphs via Synthetic Coordinates NIPS 2021 Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More ICML 2021 Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More ICML 2020 Directional Message Passing for Molecular Graphs ICLR 2020 Diffusion Improves Graph Learning NIPS 2019 Predict then Propagate: Graph Neural Networks meet Personalized PageRank ICLR 2019