Daniel Zügner
Microsoft (Germany)(DE)
Publications by Year
Research Areas
Adversarial Robustness in Machine Learning, Advanced Graph Neural Networks, Anomaly Detection Techniques and Applications, Machine Learning in Materials Science, Complex Network Analysis Techniques
Most-Cited Works
- → Adversarial Attacks on Neural Networks for Graph Data(2018)973 cited
- → Adversarial Attacks on Graph Neural Networks via Meta Learning(2019)368 cited
- → A generative model for inorganic materials design(2025)292 cited
- → NetGAN: Generating Graphs via Random Walks(2018)151 cited
- → Adversarial Attacks on Graph Neural Networks(2020)96 cited
- → Two for One: Diffusion Models and Force Fields for Coarse-Grained Molecular Dynamics(2023)80 cited
- → MatterSim: A Deep Learning Atomistic Model Across Elements, Temperatures and Pressures(2024)74 cited
- → MatterGen: a generative model for inorganic materials design(2023)69 cited
- → Language-Agnostic Representation Learning of Source Code from Structure and Context(2021)63 cited