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jayzzhou-thu authored Dec 6, 2020
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Expand Up @@ -566,6 +566,10 @@ Contributed by Jie Zhou, Ganqu Cui, Zhengyan Zhang and Yushi Bai.

*Zekun Tong, Yuxuan Liang, Changsheng Sun, Xinke Li, David S. Rosenblum, Andrew Lim.*

1. **Subgraph Neural Networks.** NeurIPS 2020. [paper](https://papers.nips.cc/paper/2020/hash/5bca8566db79f3788be9efd96c9ed70d-Abstract.html)

*Emily Alsentzer, Samuel Finlayson, Michelle Li, Marinka Zitnik.*

### [Pooling Methods](#content)
1. **An End-to-End Deep Learning Architecture for Graph Classification.** AAAI 2018. [paper](https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/17146/16755)

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*Xuanqing Liu, Si Si, Jerry Zhu, Yang Li, Cho-Jui Hsieh.*

1. **GNNGuard: Defending Graph Neural Networks against Adversarial Attacks.** NeurIPS 2020. [paper](https://papers.nips.cc/paper/2020/hash/690d83983a63aa1818423fd6edd3bfdb-Abstract.html)

*Xiang Zhang, Marinka Zitnik.*

### [Graph Clustering](#content)

1. **Attributed Graph Clustering: A Deep Attentional Embedding Approach.** IJCAI 2019. [paper](https://arxiv.org/pdf/1906.06532.pdf)
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*Jinheon Baek, Dong Bok Lee, Sung Ju Hwang.*

1. **Graph Meta Learning via Local Subgraphs.** NeurIPS 2020. [paper](https://papers.nips.cc/paper/2020/hash/412604be30f701b1b1e3124c252065e6-Abstract.html)

*Kexin Huang, Marinka Zitnik.*

### [Program Representation](#content)

1. **Learning to Represent Programs with Graphs.** ICLR 2018. [paper](https://arxiv.org/abs/1711.00740)
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