Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)
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Updated
Apr 20, 2022 - Python
Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)
Workflow management for signac-managed data spaces.
Reproducible exploration of organic photovoltaic morphology self-assembly using molecular dynamics.
Integration of the `fbpic` PIC code with the `signac` framework.
Slides and notebooks demonstrating signac for PyData Ann Arbor Meetup 2018
Helper functions and classes for signac-flow projects
Slides and demos for the MICDE CNSCCS Symposium, October 15, 2018
scRNA-seq and scATAC-seq utilities
ThunderBio scRNA-seq pipeline
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