On Graph Neural Networks (GNNs)

[wolfram77]

From Algorithmic Simplicity:

• Why Does Diffusion Work Better than Auto-Regression? - YouTube
• Transformer Neural Networks Derived from Scratch - YouTube
• Why do Convolutional Neural Networks work so well? - YouTube
• But what is a neural network REALLY? - YouTube

GNN articles:

• 18.Limitations of Graph Neural Networks | machine-learning-with-graphs – Weights & Biases
• Graph Neural Network Series 5 — The Future of Graph Intelligence: Challenges and Developments in GNN | by Renda Zhang | Medium
• Issues with graph neural networks: the cracks are where the light shines through | Oxford Protein Informatics Group
• Graph Neural Network and Some of GNN Applications
• Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification

From JNTUH GNN group:

• Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 1.1 - Why Graphs - YouTube (Lecture 3 to start)
• [1706.02216] Inductive Representation Learning on Large Graphs
• [1706.03762] Attention Is All You Need
• [1710.10903] Graph Attention Networks

From Artem Kirsanov:

• The Most Important Algorithm in Machine Learning - YouTube
• A Brain-Inspired Algorithm For Memory - YouTube

From Mithin (JNTUH):

• A Gentle Introduction to Graph Neural Networks
• Recipe for a General, Powerful, Scalable Graph Transformer
• Graph attention networks
• Do transformers really perform badly for graph representation?
• Neural message passing for quantum chemistry

[wolfram77]

Transformer Neural Networks Derived from Scratch - YouTube

Are there oversmoothing issues in CNNs, similar to GNNs?