Relational Inductive Biases, Deep Learning, and Graph Networks
A pleasant review/positional paper that takes its time strolling through deep graph networks and how viewing them through the lens of relational inductive biases can be helpful.
Position-Aware Graph Neural Networks
A paper that addresses the problem of learning embeddings that encode for node position relative to the graph.
Semi-Supervised Classification with Graph Convolutional Networks
Kipf, Thomas and M. Welling. “Semi-Supervised Classification with Graph Convolutional Networks.” ArXiv abs/1609.02907 (2017): n. pag.
On Spectral Clustering: Analysis and Algorithm
The paper which made spectral clustering practical. Useful for understanding other spectral techniques. Paper by M.I. Jordan & A. Ng., 2001