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Finding Patient Zero: Learning Contagion Source with Graph Neural
  Networks
v1v2 (latest)

Finding Patient Zero: Learning Contagion Source with Graph Neural Networks

21 June 2020
Chintan Shah
Nima Dehmamy
N. Perra
Matteo Chinazzi
A. Barabási
Alessandro Vespignani
Rose Yu
ArXiv (abs)PDFHTMLHuggingFace (1 upvotes)

Papers citing "Finding Patient Zero: Learning Contagion Source with Graph Neural Networks"

15 / 15 papers shown
Identifying Asymptomatic Nodes in Network Epidemics using Graph Neural Networks
Identifying Asymptomatic Nodes in Network Epidemics using Graph Neural Networks
Conrado Catarcione Pinto
Amanda Camacho Novaes de Oliveira
Rodrigo Sapienza Luna
Daniel Ratton Figueiredo
112
0
0
02 Oct 2025
HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion
HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention FusionInternational Joint Conference on Artificial Intelligence (IJCAI), 2025
Le Cheng
Peican Zhu
Yangming Guo
Keke Tang
Chao Gao
Zhen Wang
547
2
0
19 May 2025
SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs
SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential HypergraphsInternational Joint Conference on Artificial Intelligence (IJCAI), 2025
Le Cheng
Peican Zhu
Yangming Guo
Chao Gao
Zhen Wang
Keke Tang
Mamba
410
1
0
19 May 2025
GraphBridge: Towards Arbitrary Transfer Learning in GNNs
GraphBridge: Towards Arbitrary Transfer Learning in GNNsInternational Conference on Learning Representations (ICLR), 2025
Li Ju
Xingyi Yang
Qi Li
Xinchao Wang
458
5
0
26 Feb 2025
A Review of Graph Neural Networks in Epidemic Modeling
A Review of Graph Neural Networks in Epidemic Modeling
Zewen Liu
Guancheng Wan
B. A. Prakash
Max S. Y. Lau
Wei Jin
AI4CE
319
99
0
28 Mar 2024
GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional
  Encoding and Attentive Fusion
GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion
Le Cheng
Peican Zhu
Keke Tang
Chao Gao
Zhen Wang
241
36
0
27 Feb 2024
A Comprehensive Survey on Artificial Intelligence for Complex Network: Potential, Methodology and Application
A Comprehensive Survey on Artificial Intelligence for Complex Network: Potential, Methodology and Application
Jingtao Ding
Chang Liu
Y. Zheng
Yunke Zhang
Zihan Yu
...
Hongyi Chen
J. Piao
Huandong Wang
Jiazhen Liu
Yong Li
AI4CE
373
13
0
23 Feb 2024
Sequential Attention Source Identification Based on Feature
  Representation
Sequential Attention Source Identification Based on Feature RepresentationInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Dongpeng Hou
Zhen Wang
Chao Gao
Xuelong Li
171
22
0
28 Jun 2023
Deep Demixing: Reconstructing the Evolution of Network Epidemics
Deep Demixing: Reconstructing the Evolution of Network Epidemics
Boning Li
Gojko Cutura
A. Swami
Santiago Segarra
184
0
0
11 Jun 2023
Inference of a Rumor's Source in the Independent Cascade Model
Inference of a Rumor's Source in the Independent Cascade ModelConference on Uncertainty in Artificial Intelligence (UAI), 2022
Petra Berenbrink
Max Hahn-Klimroth
Dominik Kaaser
Lena Krieg
M. Rau
LRM
142
7
0
24 May 2022
A Bayesian generative neural network framework for epidemic inference
  problems
A Bayesian generative neural network framework for epidemic inference problemsScientific Reports (Sci Rep), 2021
I. Biazzo
Alfredo Braunstein
Luca DallÁsta
Fabio Mazza
423
17
0
05 Nov 2021
Estimating the State of Epidemics Spreading with Graph Neural Networks
Estimating the State of Epidemics Spreading with Graph Neural NetworksNonlinear dynamics (ND), 2021
Abhishek Tomy
Matteo Razzanelli
Francesco Di Lauro
Daniela Rus
Cosimo Della Santina
188
39
0
10 May 2021
Schemes of Propagation Models and Source Estimators for Rumor Source
  Detection in Online Social Networks: A Short Survey of a Decade of Research
Schemes of Propagation Models and Source Estimators for Rumor Source Detection in Online Social Networks: A Short Survey of a Decade of Research
R. Jin
Weili Wu
135
13
0
04 Jan 2021
Transfer Graph Neural Networks for Pandemic Forecasting
Transfer Graph Neural Networks for Pandemic Forecasting
G. Panagopoulos
Giannis Nikolentzos
Michalis Vazirgiannis
351
9
0
10 Sep 2020
Deep learning of contagion dynamics on complex networks
Deep learning of contagion dynamics on complex networks
Charles Murphy
Edward Laurence
Antoine Allard
GNNAI4CE
535
89
0
09 Jun 2020
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