Self-supervised Learning and Graph Classification under Heterophily-Reference-Cited by-同舟云学术

Self-supervised Learning and Graph Classification under Heterophily

Published:2023-10-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
language:
Short-container-title:

Author:

Ding Yilin¹^ORCID,Liu Zhen¹^ORCID,Hao Hao¹^ORCID

Affiliation:

1. School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583780.3615166

Reference23 articles.

1. Beyond Low-frequency Information in Graph Convolutional Networks

2. Michaël Defferrard , Xavier Bresson , and Pierre Vandergheynst . 2016. Convolutional neural networks on graphs with fast localized spectral filtering. Advances in neural information processing systems , Vol. 29 ( 2016 ). Michaël Defferrard, Xavier Bresson, and Pierre Vandergheynst. 2016. Convolutional neural networks on graphs with fast localized spectral filtering. Advances in neural information processing systems , Vol. 29 (2016).

3. L. William Hamilton , Rex Ying , and Jure Leskovec . 2017a. Inductive Representation Learning on Large Graphs . In Advances in Neural Information Processing Systems (NeurIPS) ( 2017 ), 1024--1034. L. William Hamilton, Rex Ying, and Jure Leskovec. 2017a. Inductive Representation Learning on Large Graphs. In Advances in Neural Information Processing Systems (NeurIPS) (2017), 1024--1034.

4. William L Hamilton , Rex Ying , and Jure Leskovec . 2017b. Representation learning on graphs: Methods and applications. arXiv preprint arXiv:1709.05584 ( 2017 ). William L Hamilton, Rex Ying, and Jure Leskovec. 2017b. Representation learning on graphs: Methods and applications. arXiv preprint arXiv:1709.05584 (2017).

5. Weihua Hu , Bowen Liu , Joseph Gomes , Marinka Zitnik , Percy Liang , Vijay Pande , and Jure Leskovec . 2019. Strategies for pre-training graph neural networks. arXiv preprint arXiv:1905.12265 ( 2019 ). Weihua Hu, Bowen Liu, Joseph Gomes, Marinka Zitnik, Percy Liang, Vijay Pande, and Jure Leskovec. 2019. Strategies for pre-training graph neural networks. arXiv preprint arXiv:1905.12265 (2019).