Andreas Loukas
23 papers · 2017–2024 · 6 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 11 separate collaboration groups - the largest holds only 22% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.
Which Andreas Loukas?
5 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
6 papers whose co-authors appear nowhere else under this name
Building powerful and equivariant graph neural networks with structural message-passing
NeurIPS 2020
Graph Coarsening with Preserved Spectral Properties
AISTATS 2020
How hard is to distinguish graphs with graph neural networks?
NeurIPS 2020
What graph neural networks cannot learn: depth vs width
ICLR 2020
Graph Reduction with Spectral and Cut Guarantees
JMLR 2019
How Close Are the Eigenvectors of the Sample and Actual Covariance Matrices?
ICML 2017