Sketching Method for Large Scale Combinatorial Inference

Wei Sun, Junwei Lu, Han Liu

Neural Information Processing Systems 

We present computationally efficient algorithms to test various combinatorial structures of large-scale graphical models. In order to test the hypotheses on their topological structures, we propose two adjacency matrix sketching frameworks: neighborhood sketching and subgraph sketching.

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