University of Cambridge > Talks.cam > Foundation AI > Tackling Unknown Connectivity: Latent Graph and Latent Topology Inference and its Applications

Tackling Unknown Connectivity: Latent Graph and Latent Topology Inference and its Applications

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Graph data, like any other type of data, is susceptible to imperfections. Specifically, edge sets may contain various issues, such as noise and incompleteness, which have been extensively studied. However, in extreme scenarios, the edge set may be entirely unknown, implying the impossibility of applying graph neural networks. The problem of unknown connectivity can be framed from the perspective that any type of data has an underlying graph topology that can be learned to boost the performance of downstream tasks.

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