AM-GCN: Adaptive Multi-channel Graph Convolutional Networks-Reference-Cited by-同舟云学术

AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

Published:2020-07-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
language:
Short-container-title:

Author:

Wang Xiao¹,Zhu Meiqi¹,Bo Deyu¹,Cui Peng²,Shi Chuan¹,Pei Jian³

Affiliation:

1. Beijing University of Posts and Telecommunications, Beijing, China

2. Tsinghua University, Beijing, China

3. Simon Fraser University, Burnaby, Canada

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3394486.3403177

Reference38 articles.

1. Aleksandar Bojchevski and Stephan Günnemann. 2018. Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking. In ICLR. Aleksandar Bojchevski and Stephan Günnemann. 2018. Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking. In ICLR.

2. Joan Bruna Wojciech Zaremba Arthur Szlam and Yann LeCun. 2014. Spectral Networks and Locally Connected Networks on Graphs. In ICLR. Joan Bruna Wojciech Zaremba Arthur Szlam and Yann LeCun. 2014. Spectral Networks and Locally Connected Networks on Graphs. In ICLR.

3. Jie Chen Tengfei Ma and Cao Xiao. 2018. FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling. In ICLR. Jie Chen Tengfei Ma and Cao Xiao. 2018. FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling. In ICLR.

4. Michaël Defferrard Xavier Bresson and Pierre Vandergheynst. 2016. Convolutional neural networks on graphs with fast localized spectral filtering. In NeurIPS. 3844--3852. Michaël Defferrard Xavier Bresson and Pierre Vandergheynst. 2016. Convolutional neural networks on graphs with fast localized spectral filtering. In NeurIPS. 3844--3852.

Cited by 368 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A pseudo-label supervised graph fusion attention network for drug–target interaction prediction;Expert Systems with Applications;2025-01

2. Multi-strategy adaptive data augmentation for Graph Neural Networks;Expert Systems with Applications;2024-12

3. Multi-view discriminative edge heterophily contrastive learning network for attributed graph anomaly detection;Expert Systems with Applications;2024-12

4. Attention-based stackable graph convolutional network for multi-view learning;Neural Networks;2024-12

5. Evolving graph convolutional network with transformer for CT segmentation;Applied Soft Computing;2024-11