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  • What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning: Prerequisite chain learning models

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What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning: Prerequisite chain learning GCN models

The author used the non-probabilistic Graph autoencoder(GAE) and the Variational Graph Autoencoder(VGAE) with 200 epochs, a learning rate of 0.01, two-layers(32 hidden units in the first and 16 in the second). (Kipf and Welling 2016)

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Updated 2020-08-04

Contributors are:

JC
Jing Cao
🏆 4

Who are from:

UM
University of Michigan - Ann Arbor
🏆 4

References


  • What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning: Reference for GCNs

  • What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning: Reference

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Data Science

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  • What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning: Prerequisite chain learning binary classifiers

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  • What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning: Reference for GCNs

  • What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning: GAE algorithm

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  • What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning: VGAE algorithm

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