Johannes Gasteiger
13 papers · 2019–2025 · 4 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (19) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
🔬
Deep Specialist
(11)
🤝
Dynamic Duo
(11)
👑
Triple Crown
🏆
Keyword Champion
(3)
🗃️
Keyword Collector
(58)
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Deep Learning
(11)
Architectures
(11)
Machine Learning
(10)
Artificial Intelligence
(7)
Core AI
(7)
Application Areas
(4)
Core Methods
(4)
Optimization & Theory
(4)
Mathematics & Optimization
(2)
Optimization
(2)
Interdisciplinary
(1)
Natural Language Processing
(1)
Generation
(1)
Learning Types
(1)
Science
(1)
Keywords
graph neural network
(10)
personalized pagerank
(3)
molecular graph
(2)
message passing
(2)
molecular property prediction
(2)
node classification
(2)
adversarial robustness
(2)
robustness certificate
(2)
energy prediction
(2)
directional message passing
(2)
optimal transport
(1)
graph diffusion
(1)
adversarial attack
(1)
spectral method
(1)
generative framework
(1)
label propagation
(1)
semi-supervised learning
(1)
locality sensitive hashing
(1)
molecular dynamics
(1)
policy gradient
(1)
Papers
REINFORCE Adversarial Attacks on Large Language Models: An Adaptive, Distributional, and Semantic Objective
ICML 2025
The Geometry of Refusal in Large Language Models: Concept Cones and Representational Independence
ICML 2025
Accelerating Molecular Graph Neural Networks via Knowledge Distillation
NeurIPS 2023
Ewald-based Long-Range Message Passing for Molecular Graphs
ICML 2023
SubMix: Learning to Mix Graph Sampling Heuristics
UAI 2023
Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks
ICLR 2021
Directional Message Passing on Molecular Graphs via Synthetic Coordinates
NeurIPS 2021
GemNet: Universal Directional Graph Neural Networks for Molecules
NeurIPS 2021
Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More
ICML 2021
Directional Message Passing for Molecular Graphs
ICLR 2020
Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More
ICML 2020
Diffusion Improves Graph Learning
NeurIPS 2019
Predict then Propagate: Graph Neural Networks meet Personalized PageRank
ICLR 2019