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2003.03777
Cited By
Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks
8 March 2020
Fernando Gama
Elvin Isufi
G. Leus
Alejandro Ribeiro
GNN
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Papers citing
"Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks"
23 / 23 papers shown
Title
Explainable Spatio-Temporal GCNNs for Irregular Multivariate Time Series: Architecture and Application to ICU Patient Data
Óscar Escudero-Arnanz
C. Soguero-Ruíz
Antonio G. Marques
AI4TS
29
0
0
01 Nov 2024
Graph Convolutional Network For Semi-supervised Node Classification With Subgraph Sketching
Zibin Huang
Jun Xian
GNN
32
0
0
19 Apr 2024
Learning to Navigate in Turbulent Flows with Aerial Robot Swarms: A Cooperative Deep Reinforcement Learning Approach
Diego Patiño
Siddharth Mayya
J. Calderon
Kostas Daniilidis
David Saldaña
22
3
0
07 Jun 2023
Transferability of coVariance Neural Networks and Application to Interpretable Brain Age Prediction using Anatomical Features
Saurabh Sihag
Fangchang Ma
Corey McMillan
Angela Dai
38
3
0
02 May 2023
Graph Neural Networks over the Air for Decentralized Tasks in Wireless Networks
Zhan Gao
Deniz Gunduz
GNN
32
1
0
16 Feb 2023
Online Filtering over Expanding Graphs
Bishwadeep Das
Elvin Isufi
23
4
0
17 Jan 2023
D2CoPlan: A Differentiable Decentralized Planner for Multi-Robot Coverage
V. Sharma
Lifeng Zhou
Pratap Tokekar
48
8
0
19 Sep 2022
A Bipartite Graph Neural Network Approach for Scalable Beamforming Optimization
Junbeom Kim
Hoon Lee
Seung‐Eun Hong
Seok-Hwan Park
41
44
0
12 Jul 2022
Graph-Time Convolutional Neural Networks: Architecture and Theoretical Analysis
Mohammad Sabbaqi
Elvin Isufi
GNN
AI4TS
40
14
0
30 Jun 2022
coVariance Neural Networks
Saurabh Sihag
Gonzalo Mateos
Corey McMillan
Alejandro Ribeiro
26
10
0
31 May 2022
Learning Graph Structure from Convolutional Mixtures
Max Wasserman
Saurabh Sihag
Gonzalo Mateos
Alejandro Ribeiro
GNN
CML
BDL
37
6
0
19 May 2022
Graph Neural Networks Designed for Different Graph Types: A Survey
J. M. Thomas
Alice Moallemy-Oureh
Silvia Beddar-Wiesing
Clara Holzhuter
23
29
0
06 Apr 2022
Transferability Properties of Graph Neural Networks
Luana Ruiz
Luiz F. O. Chamon
Alejandro Ribeiro
GNN
24
41
0
09 Dec 2021
Stability Analysis of Unfolded WMMSE for Power Allocation
Arindam Chowdhury
Fernando Gama
Santiago Segarra
40
3
0
14 Oct 2021
Simplicial Convolutional Neural Networks
Maosheng Yang
Elvin Isufi
G. Leus
GNN
65
57
0
06 Oct 2021
A Robust Alternative for Graph Convolutional Neural Networks via Graph Neighborhood Filters
Victor M. Tenorio
Samuel Rey
Fernando Gama
Santiago Segarra
A. Marques
GNN
22
7
0
02 Oct 2021
Wide and Deep Graph Neural Network with Distributed Online Learning
Zhan Gao
Fernando Gama
Alejandro Ribeiro
GNN
42
26
0
19 Jul 2021
Scalable Perception-Action-Communication Loops with Convolutional and Graph Neural Networks
Ting-Kuei Hu
Fernando Gama
Tianlong Chen
Wenqing Zheng
Zhangyang Wang
Alejandro Ribeiro
Brian M. Sadler
GNN
65
18
0
24 Jun 2021
Finite Impulse Response Filters for Simplicial Complexes
Maosheng Yang
Elvin Isufi
Michael T. Schaub
G. Leus
8
36
0
23 Mar 2021
Graph-Time Convolutional Neural Networks
Elvin Isufi
Gabriele Mazzola
GNN
AI4TS
24
14
0
02 Mar 2021
The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning
J. Blumenkamp
Amanda Prorok
AAML
AI4CE
16
59
0
06 Aug 2020
Convolutional Neural Network Architectures for Signals Supported on Graphs
Fernando Gama
A. Marques
G. Leus
Alejandro Ribeiro
132
285
0
01 May 2018
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
250
3,236
0
24 Nov 2016
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