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Functional Discovery via a Compendium of Expression Profiles
2021-02-02
Functional similarity based on co-expression
Papersfunction (gene)co-expression (gene)bioinformaticsTimothy R. HughesMatthew J. MartonStephen H. Friend
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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.
Papersmachine learninggraphsgraph learninginductive biasPeter W. BattagliaRazvan Pascanu
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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.
Papersmachine learninggraphsgraph learningJiaxuan YouRex YingJure Leskovec
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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.
Papersmachine learninggraphsgraph learningspectralsemi-supervisedThomas N. KipfMax Welling
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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
Papersmachine learningclusteringunsupervisedspectralMichael Irwin JordanAndrew Ng