Targeted Branching for the Maximum Independent Set Problem Using Graph Neural Networks

• Predicting the temperature-dependent CMC of surfactant mixtures with graph neural networks

  2025 Computers & Chemical Engineering article Chemistry Surfactants and Colloidal Systems Open access

  12

  citations
• Restructuring knowledge graphs with conceptual models: implications for machine learning predictions in drug repurposing

  2025 Research Square preprint Computer Science Computational Drug Discovery Methods Open access

  0

  citations
• Graph neural networks in histopathology: Emerging trends and future directions

  2025 Medical Image Analysis article Computer Science AI in cancer detection Open access

  49

  citations
• scAGG: Sample-level embedding and classification of Alzheimer's disease from single-nucleus data

  2025 Computational and Structural Biotechnology Journal article Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access

  2

  citations
• Knowledge Graphs and Explainable AI for Drug Repurposing on Rare Diseases

  2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Computational Drug Discovery Methods Open access

  7

  citations
• Some Might Say All You Need Is Sum

  2023 International Joint Conference on Artificial Intelligence conference-paper Computer Science Advanced Graph Neural Networks Open access

  4

  citations
• Learnable Spectral Wavelets on Dynamic Graphs to Capture Global Interactions

  2023 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Advanced Graph Neural Networks Open access

  8

  citations
• openOCHEM consensus model wins Kaggle First EUOS/SLAS Joint Compound Solubility Challenge

  2023 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

  0

  citations
• Stable Tuple Embeddings for Dynamic Databases

  2023 Proceedings - International Conference on Data Engineering conference-paper Computer Science Advanced Graph Neural Networks

  1

  citations
• Human-Centric Machine Learning for Temporal Knowledge Graphs: Towards Understanding the European Alternative Fuels Market

  2022 Proceedings/Proceedings -- IEEE Symposium on Visual Languages and Human-Centric Computing conference-paper Computer Science Advanced Graph Neural Networks

  1

  citations
• Graph neural networks for the prediction of molecular structure-property relationships

  2022 arXiv (Cornell University) preprint Computer Science Computational Drug Discovery Methods Open access

  2

  citations
• Graph Machine Learning for Design of High-Octane Fuels

  2022 RWTH Publications (RWTH Aachen) preprint Materials Science Machine Learning in Materials Science Open access

  0

  citations
• Structack: Structure-based Adversarial Attacks on Graph Neural Networks

  2021 ACM Conference on Hypertext and Social Media (HT) conference-paper Computer Science Adversarial Robustness in Machine Learning Open access

  16

  citations
• Signal processing on higher-order networks: Livin’ on the edge... and beyond

  2021 Signal Processing article Computer Science Advanced Graph Neural Networks Open access

  149

  citations
• A survey of deep meta-learning

  2021 Data Archiving and Networked Services (DANS) article Computer Science Domain Adaptation and Few-Shot Learning Open access

  322

  citations
• Methods for Actors in the Electric Power System to Prevent, Detect and React to ICT Attacks and Failures

  2020 RWTH Publications (RWTH Aachen) conference-paper Engineering Smart Grid Security and Resilience

  17

  citations

16 results