Under the Project Folder
Project 1: Training GNNs 5.75
Project 2: GNNs on Knowledge and 3D Graphs DDL: 6/12/2023 Submitted
Under the Presentation Folder
Paper: Design Space for Graph Neural Networks by Jiaxuan You et al. NeurIPS 2021
Presenter: Jiaqing Xie, Ziheng Chi. Time: 29/11/2023
File: Slides
Under the Lecture Folder
Available at ADLG
| Lecture title | Link to the file | Date | Reference |
|---|---|---|---|
| Introduction / Motivation | pdf, pdf | 20/9/2023 | / |
| Features and Node Embeddings | 27/09/2023 | / | |
| Intro to GNNs | 04/10/2023 | / | |
| Training GNNs | 11/10/2023 | / | |
| Graph Transformer | 18/10/2023 | / | |
| Explainability | 25/10/2023 | / | |
| Expressivity, Oversmoothing, Scalability | 1/11/2023 | / | |
| Graph Manipulation & Self-Supervised Learning | 8/11/2023 | / | |
| Knowledge Graphs | 15/11/2023 | / | |
| Clinical & Genomics Applications | 22/11/2023 | / | |
| Generative Modelling on Graphs | 29/11/2023 | / | |
| Physics-Inspired GNNs by Prof. Michael Bronstein | pdf not given | 06/12/2023 | / |
No exercise this year.
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