Encoder embedding for general graph and node classification
Abstract Graph encoder embedding, a recent technique for graph data, offers speed and scalability in producing vertex-level representations from binary graphs. In this paper, we extend the applicability of this method to a general graph model, which includes weighted graphs, distance matrices, and k...
| Published in: | Applied Network Science |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2024-10-01
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| Subjects: | |
| Online Access: | https://doi.org/10.1007/s41109-024-00678-4 |