Towards unsupervised deep graph structure learning

Y Liu, Y Zheng, D Zhang, H Chen, H Peng… - Proceedings of the ACM …, 2022 - dl.acm.org
In recent years, graph neural networks (GNNs) have emerged as a successful tool in a
variety of graph-related applications. However, the performance of GNNs can be …
被引用次数：148 相关文章

Towards unsupervised deep graph structure learning

Y Liu, Y Zheng, D Zhang, H Chen… - … World Wide Web …, 2022 - research.monash.edu
In recent years, graph neural networks (GNNs) have emerged as a successful tool in a
variety of graph-related applications. However, the performance of GNNs can be …

Towards Unsupervised Deep Graph Structure Learning

Y Liu, Y Zheng, D Zhang, H Chen… - Proceedings of the …, 2022 - opus.lib.uts.edu.au
In recent years, graph neural networks (GNNs) have emerged as a successful tool in a
variety of graph-related applications. However, the performance of GNNs can be …
[PDF] github.io

[PDF][PDF] Towards Unsupervised Deep Graph Structure Learning

Y Liu, Y Zheng, D Zhang, H Chen, H Peng, S Pan - 2022 - shiruipan.github.io
In recent years, graph neural networks (GNNs) have emerged as a successful tool in a
variety of graph-related applications. However, the performance of GNNs can be …

Towards Unsupervised Deep Graph Structure Learning

Y Liu, Y Zheng, D Zhang, H Chen, H Peng… - arXiv e …, 2022 - ui.adsabs.harvard.edu
In recent years, graph neural networks (GNNs) have emerged as a successful tool in a
variety of graph-related applications. However, the performance of GNNs can be …

Towards Unsupervised Deep Graph Structure Learning

Y Liu, Y Zheng, D Zhang, H Chen, H Peng… - arXiv preprint arXiv …, 2022 - arxiv.org
In recent years, graph neural networks (GNNs) have emerged as a successful tool in a
variety of graph-related applications. However, the performance of GNNs can be …

[引用][C] Towards Unsupervised Deep Graph Structure Learning

Y Liu, Y Zheng, D Zhang, H Chen, H Peng, S Pan - 2022