Cross-Graph Embedding With Trainable Proximity for Graph Alignment
Graph alignment, also known as network alignment, has many applications in data mining tasks. It aims to find the node correspondence across disjoint graphs. With recent representation learning advancements, embedding-based graph alignment has become a hot topic. Existing embedding-based methods foc...
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Veröffentlicht in: | IEEE transactions on knowledge and data engineering 2023-12, Vol.35 (12), p.12556-12570 |
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