17 citations · 81 across the 33 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
cs.LG2019
Incidence Networks for Geometric Deep Learning
Marjan Albooyeh, Daniele Bertolini, Siamak Ravanbakhsh
Sparse incidence tensors can represent a variety of structured data. For example, we may represent attributed graphs using their node-node, node-edge, or edge-edge incidence matric…
cs.LG2019
Equivariant Entity-Relationship Networks
Devon Graham, Junhao Wang, Siamak Ravanbakhsh
The relational model is a ubiquitous representation of big-data, in part due to its extensive use in databases. In this paper, we propose the Equivariant Entity-Relationship Networ…