This page provides some useful resources about (deep) machine learning on Graphs.

**Workshops:**

- The First International Workshop on
**Deep Learning on Graphs: Methodologies and Applications****(DLGMA’20)**[In Conjunction with AAAI 2020] — website

- ICCV 2019 Workshop:
**Scene Graph Representation and Learning**(website, PDF if the workshop site is not retrievable)

- ICML 2019 Worshop on
**Learning and Reasoning with Graph-Structured Data****(PDF)** - The First International Workshop on
**Deep Learning on Graphs: Methods and Applications (DLG’19)****—**In Conjunction with the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (PDF) — Latex Template (ACM Conference Proceedings – New Template) - MLG 2019 – 15th International Workshop on
**Mining and Learning with Graphs****(PDF)**

- SDM’19 Workshop on
**Deep Learning for Graphs****(PDF)** - International Workshop on
**Deep Learning for Graphs and Structured Data Embedding** - 1st International Workshop on
**Machine Learning and Knowledge Graphs**(**MLKgraphs 2019**) - 15th International Workshop on
**Mining and Learning with Graphs****(****co-located with KDD 2019)**

**Papers:**

- Hamilton, W. L., Ying, R., & Leskovec, J. (2017).
**Representation learning on graphs: Methods and applications.***arXiv preprint arXiv:1709.05584*. (PDF link) - Zhang, Z., Cui, P., & Zhu, W. (2018).
**Deep learning on graphs: A survey**.*arXiv preprint arXiv:1812.04202*. (PDF link)

**Good websites:**

**Good Posts:**

### Books:

- TBA

**Talks:**