Beast code in Giters

Namkyeong Lee's repositories

The official source code for "Augmentation-Free Self-Supervised Learning on Graphs"

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Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"

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Papers about Molecular Machine Learning (MoML) given its human language textual description

The official source code for "Conditional Graph Information Bottleneck for Molecular Relational Learning".

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The official source code for "Relational Self-Supervised Learning on Graphs"

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The official source code for "Shift-Robust Molecular Relational Learning with Causal Substructure"

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The official source code for "Stoichiometry Representation Learning with Polymorphic Crystal Structures"

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Pytorch implementation of "Very Deep Graph Neural Networks via Noise Regularisation"

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implementation of Recommendation System papers

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Lab session materials for CoE202 in KAIST

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A beautiful, simple, clean, and responsive Jekyll theme for academics

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A Deep Learning Python Toolkit for Healthcare Applications.

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