439 citations · 716 across the 8 of their papers we have counts for
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cs.LG2022★ 4 cited
Generalised Implicit Neural Representations
Daniele Grattarola, Pierre Vandergheynst
We consider the problem of learning implicit neural representations (INRs) for signals on non-Euclidean domains. In the Euclidean case, INRs are trained on a discrete sampling of a…
cs.SI2022★ 3 cited
Unsupervised Network Embedding Beyond Homophily
Zhiqiang Zhong, Guadalupe Gonzalez, Daniele Grattarola +1
Network embedding (NE) approaches have emerged as a predominant technique to represent complex networks and have benefited numerous tasks. However, most NE approaches rely on a hom…