Papers

Functional Discovery via a Compendium of Expression Profiles
2021-02-02
Functional similarity based on co-expression
Papers function (gene)co-expression (gene)bioinformatics Timothy R. Hughes Matthew J. Marton Stephen H. Friend
Relational Inductive Biases, Deep Learning, and Graph Networks
2021-01-25
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.
Papers machine learning graphs graph learning inductive bias Peter W. Battaglia Razvan Pascanu
Position-Aware Graph Neural Networks
2021-01-08
A paper that addresses the problem of learning embeddings that encode for node position relative to the graph.
Papers machine learning graphs graph learning Jiaxuan You Rex Ying Jure Leskovec
Semi-Supervised Classification with Graph Convolutional Networks
2020-10-06
Kipf, Thomas and M. Welling. “Semi-Supervised Classification with Graph Convolutional Networks.” ArXiv abs/1609.02907 (2017): n. pag.
Papers machine learning graphs graph learning spectral semi-supervised Thomas N. Kipf Max Welling
On Spectral Clustering: Analysis and Algorithm
2020-10-06
The paper which made spectral clustering practical. Useful for understanding other spectral techniques. Paper by M.I. Jordan & A. Ng., 2001
Papers machine learning clustering unsupervised spectral Michael Irwin Jordan Andrew Ng