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Research questionHow can graph topology inference from node observations be unified with generating new graph instances?Graph research often separates recovering the structure of an individual graph from learning how whole graph instances are distributed. Because both can be viewed as inverse problems involving graph-data generation, their relationships and boundaries are difficult to reason about consistently.
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Machine Learning
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Statistical Machine Learning
Latest papersRecent research connected to this question, newest first.From topology learning to graph generation: A unifying perspectiveThe source is a review of frameworks and methodologies connecting graph topology learning and graph generation. It discusses their relationships, strengths, limitations, and opportunities for integration, without presenting evidence for a particular deployment setting.research paper · Sep 2, 2026
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