add teaching: adding GNNs-For-Chmists course to the teaching section

Author: HFooladi

_teaching/2025-gnns-for-chemists.md

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+---
+title: "GNNs For Chemists"
+collection: teaching
+type: "graduate course"
+permalink: /teaching/2025-gnns-for-chemists
+venue: "University of Vienna"
+date: 2025-04-10
+location: "Vienna, Austria"
+---
+
+## GNNs For Chemists
+
+Implementations of different graph neural networks (GNNs) from scratch for Chemists. You can find the course on my Github: [GNNs-For-Chemists](https://github.com/HFooladi/GNNs-For-Chemists)
+
+## Project Description
+
+This repository serves as an educational resource for chemists and researchers interested in applying Graph Neural Networks to chemical problems. Each notebook progressively builds upon fundamental concepts, from basic graph representation of molecules to advanced molecular property prediction models.
+
+## Citation
+
+If you use this repository in your research, please cite it as:
+
+```bibtex
+@misc{gnns_for_chemists,
+  author = {Fooladi, Hosein},
+  title = {GNNs For Chemists: Implementations of Graph Neural Networks from Scratch for Chemical Applications},
+  year = {2025},
+  publisher = {GitHub},
+  journal = {GitHub repository},
+  howpublished = {\url{https://github.com/HFooladi/GNNs-For-Chemists}},
+  note = {Educational resource for chemists, pharmacists, and researchers interested in applying Graph Neural Networks to chemical problems}
+}
+```