AS-GCN: Adaptive Semantic Architecture of Graph Convolutional Networks for Text-Rich Networks-Reference-Cited by-同舟云学术

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AS-GCN: Adaptive Semantic Architecture of Graph Convolutional Networks for Text-Rich Networks

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Conference on Data Mining (ICDM)
language:
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Author:

Yu Zhizhi,Jin Di,Liu Ziyang,He Dongxiao,Wang Xiao,Tong Hanghang,Han Jiawei

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9678506/9678989/09679149.pdf?arnumber=9679149

Reference48 articles.

1. End-to-End Neural Ad-hoc Ranking with Kernel Pooling

2. Convolutional neural network architectures for matching natural language sentences;hu;Proceedings of NeurIPS,2014

3. Glove: Global Vectors for Word Representation

4. Geom-gcn: Geometric graph convolutional networks;pei;Proceedings of ICLR,2020

5. AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

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