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Andreas Bergmeister

1 accepted papers

2024

Efficient and Scalable Graph Generation through Iterative Local Expansion

ICLR 2024poster

In the realm of generative models for graphs, extensive research has been conducted. However, most existing methods struggle with large graphs due to the complexity of representing the entire joint distribution across all node pairs and capturing both global and local graph structures simultaneously…