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| Main Author: | |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.16615 |
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| _version_ | 1866910726314000384 |
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| author | Chen, Yizhu |
| author_facet | Chen, Yizhu |
| contents | Graph pooling is a family of operations which take graphs as input and produce shrinked graphs as output. Modern graph pooling methods are trainable and, in general inserted in Graph Neural Networks (GNNs) architectures as graph shrinking operators along the (deep) processing pipeline. This work proposes a novel procedure for pooling graphs, along with a node-centred graph pooling operator. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_16615 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Graph Pooling by Local Cluster Selection Chen, Yizhu Machine Learning Graph pooling is a family of operations which take graphs as input and produce shrinked graphs as output. Modern graph pooling methods are trainable and, in general inserted in Graph Neural Networks (GNNs) architectures as graph shrinking operators along the (deep) processing pipeline. This work proposes a novel procedure for pooling graphs, along with a node-centred graph pooling operator. |
| title | Graph Pooling by Local Cluster Selection |
| topic | Machine Learning |
| url | https://arxiv.org/abs/2411.16615 |