Andreas Loukas
机构: Senior Principal Scientist, Prescient Design, gRED, Roche
主页: wordpress.com
每年引用次数
引用次数
引用: 3,659
H-指数: 26
I10-指数 : 44
出版物: 67
Lightweight neighborhood cardinality estimation in dynamic wireless networks
Koen Langendoen , Marco Zuniga , Marco Cattani , Andreas Loukas
information processing in sensor networks 179 -189
19
2014
Towards Communication-Aware Robust Topologies.
Chen Avin , Stefan Schmid , Andreas Loukas , Alexandr Hercules
arXiv: Networking and Internet Architecture
1
2017
Fast Approximate Spectral Clustering for Dynamic Networks
Pierre Vandergheynst , Lionel Martin , Andreas Loukas
arXiv: Machine Learning
13
2017
How Close Are the Eigenvectors of the Sample and Actual Covariance Matrices
Andreas Loukas
international conference on machine learning 2228 -2237
6
2017
Spectrally approximating large graphs with smaller graphs.
Pierre Vandergheynst , Andreas Loukas
arXiv: Learning
69
2018
Graph reduction with spectral and cut guarantees
Andreas Loukas
arXiv: Data Structures and Algorithms
67
2018
Discriminative structural graph classification.
Nathanaël Perraudin , Andreas Loukas , Younjoo Seo
arXiv: Learning
11
2019
On the Relationship between Self-Attention and Convolutional Layers
Andreas Loukas , Martin Jaggi , Jean-Baptiste Cordonnier
international conference on learning representations
383
2020
What graph neural networks cannot learn: depth vs width
Andreas Loukas
international conference on learning representations
185
2020
Graph Coarsening with Preserved Spectral Properties
Yu Jin , Andreas Loukas , Joseph JaJa
international conference on artificial intelligence and statistics 4452 -4462
5
2020
Multi-Head Attention: Collaborate Instead of Concatenate
Andreas Loukas , Martin Jaggi , Jean-Baptiste Cordonnier
arXiv: Learning
36
2021
How hard is to distinguish graphs with graph neural networks
Andreas Loukas
arXiv: Learning
29
2020
Erdos Goes Neural: an Unsupervised Learning Framework for Combinatorial Optimization on Graphs
Andreas Loukas , Nikolaos Karalias
neural information processing systems 33 6659 -6672
50
2020
Attention is Not All You Need: Pure Attention Loses Rank Doubly Exponentially with Depth
Andreas Loukas , Jean-Baptiste Cordonnier , Yihe Dong
arXiv: Learning
121
2021
Extrapolating Paths with Graph Neural Networks
Jean-Baptiste Cordonnier , Andreas Loukas
international joint conference on artificial intelligence 2187 -2194
13
2019
Dynamic Balanced Graph Partitioning
Chen Avin , Marcin Bienkowski , Andreas Loukas , Maciej Pacut
SIAM Journal on Discrete Mathematics 34 ( 3) 1791 -1812
3
2020
Filtering Random Graph Processes Over Random Time-Varying Graphs
Andreas Loukas , Andrea Simonetto , Geert Leus , Elvin Isufi
IEEE Transactions on Signal Processing 65 ( 16) 4406 -4421
84
2017
A Time-Vertex Signal Processing Framework: Scalable Processing and Meaningful Representations for Time-Series on Graphs
Francesco Grassi , Andreas Loukas , Nathanael Perraudin , Benjamin Ricaud
IEEE Transactions on Signal Processing 66 ( 3) 817 -829
135
2018
Forecasting Time Series With VARMA Recursions on Graphs
Elvin Isufi , Andreas Loukas , Nathanael Perraudin , Geert Leus
IEEE Transactions on Signal Processing 67 ( 18) 4870 -4885
41
2019
rDAN: Toward robust demand-aware network designs
Chen Avin , Alexandr Hercules , Andreas Loukas , Stefan Schmid
Information Processing Letters 133 5 -9
17
2018