DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification-Reference-Cited by-同舟云学术

DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification

Published:2019-07-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
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Author:

Wu Jun¹,He Jingrui¹,Xu Jiejun²

Affiliation:

1. Arizona State University, Tempe, AZ, USA

2. HRL Laboratories, LLC, Los Angeles, CA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3292500.3330950

Reference30 articles.

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3. Claire Donnat Marinka Zitnik David Hallac and Jure Leskovec. 2018. Learning structural node embeddings via diffusion wavelets. In SIGKDD. 10.1145/3219819.3220025 Claire Donnat Marinka Zitnik David Hallac and Jure Leskovec. 2018. Learning structural node embeddings via diffusion wavelets. In SIGKDD. 10.1145/3219819.3220025

4. Justin Gilmer Samuel S Schoenholz Patrick F Riley Oriol Vinyals and George E Dahl. 2017. Neural message passing for quantum chemistry. In ICML. Justin Gilmer Samuel S Schoenholz Patrick F Riley Oriol Vinyals and George E Dahl. 2017. Neural message passing for quantum chemistry. In ICML.

5. Will Hamilton Zhitao Ying and Jure Leskovec. 2017. Inductive representation learning on large graphs. In NIPS. Will Hamilton Zhitao Ying and Jure Leskovec. 2017. Inductive representation learning on large graphs. In NIPS.

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