Learning Concept Prerequisite Relations from Educational Data via Multi-Head Attention Variational Graph Auto-Encoders-Reference-Cited by-同舟云学术

Learning Concept Prerequisite Relations from Educational Data via Multi-Head Attention Variational Graph Auto-Encoders

Published:2022-02-11 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining
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Author:

Zhang Juntao¹,Lin Nanzhou¹,Zhang Xuelong¹,Song Wei¹,Yang Xiandi¹,Peng Zhiyong¹

Affiliation:

1. Wuhan University, Wuhan, China

Funder

the National Natural Science Foundation of China; the National Natural Science Foundation of China; the National Key Research and Development Project of China; the Science and Technology Major Project of Hubei Province

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3488560.3498434

Reference32 articles.

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2. Unsupervised Statistical Machine Translation

3. Joan Bruna , Wojciech Zaremba , Arthur Szlam , and Yann LeCun . 2014 . Spectral Networks and Locally Connected Networks on Graphs . In Proceedings of the 2nd International Conference on Learning Representations . Joan Bruna, Wojciech Zaremba, Arthur Szlam, and Yann LeCun. 2014. Spectral Networks and Locally Connected Networks on Graphs. In Proceedings of the 2nd International Conference on Learning Representations .

4. Resources Sequencing Using Automatic Prerequisite--Outcome Annotation

5. Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction

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