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Found 2 papers, 1 papers with code
A Variational Edge Partition Model for Supervised Graph Representation Learning
This paper introduces a graph generative process to model how the observed edges are generated by aggregating the node interactions over a set of overlapping node communities, each of which contributes to the edges via a logical OR mechanism.
Edge Partition Modulated Graph Convolutional Networks
In this paper, we introduce a relational graph generative process to model how the observed edges are generated by aggregating the node interactions over multiple overlapping node communities, each of which represents a particular type of relation that contributes to the edges via a logical OR mechanism.
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