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2206.12327
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Source Localization of Graph Diffusion via Variational Autoencoders for Graph Inverse Problems
Knowledge Discovery and Data Mining (KDD), 2022
24 June 2022
Chen Ling
Junji Jiang
Junxiang Wang
Bo Pan
DiffM
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Papers citing
"Source Localization of Graph Diffusion via Variational Autoencoders for Graph Inverse Problems"
15 / 15 papers shown
Identifying Super Spreaders in Multilayer Networks
Michał Czuba
Mateusz Stolarski
Adam Piróg
Piotr Bielak
Piotr Bródka
181
1
0
27 May 2025
HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion
International Joint Conference on Artificial Intelligence (IJCAI), 2025
Le Cheng
Peican Zhu
Yangming Guo
Keke Tang
Chao Gao
Zhen Wang
456
2
0
19 May 2025
SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs
International Joint Conference on Artificial Intelligence (IJCAI), 2025
Le Cheng
Peican Zhu
Yangming Guo
Chao Gao
Zhen Wang
Keke Tang
Mamba
321
1
0
19 May 2025
GraphSL: An Open-Source Library for Graph Source Localization Approaches and Benchmark Datasets
Journal of Open Source Software (JOSS), 2024
Junxiang Wang
Bo Pan
147
0
0
06 May 2024
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
178
34
0
27 Feb 2024
MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization
Nguyen H K. Do
Tanmoy Chowdhury
Chen Ling
Bo Pan
My T. Thai
206
5
0
24 Feb 2024
Uncertainty Quantification for In-Context Learning of Large Language Models
Chen Ling
Xujiang Zhao
Xuchao Zhang
Wei Cheng
Yanchi Liu
...
Katsushi Matsuda
Jie Ji
Guangji Bai
Bo Pan
Haifeng Chen
283
33
0
15 Feb 2024
Robust Node Representation Learning via Graph Variational Diffusion Networks
Jun Zhuang
M. A. Hasan
209
9
0
18 Dec 2023
Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First
Neural Information Processing Systems (NeurIPS), 2023
Zhengwu Zhang
Junxiang Wang
Bo Pan
208
23
0
28 Oct 2023
Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction
SDM (SDM), 2023
Guangji Bai
Ziyang Yu
Zheng Chai
Yue Cheng
Bo Pan
GNN
242
5
0
25 Aug 2023
Sequential Attention Source Identification Based on Feature Representation
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Dongpeng Hou
Zhen Wang
Chao Gao
Xuelong Li
116
22
0
28 Jun 2023
Deep Demixing: Reconstructing the Evolution of Network Epidemics
Boning Li
Gojko Cutura
A. Swami
Santiago Segarra
150
0
0
11 Jun 2023
Reconstructing Graph Diffusion History from a Single Snapshot
Knowledge Discovery and Data Mining (KDD), 2023
Ruizhong Qiu
Dingsu Wang
Lei Ying
H. Vincent Poor
Yifang Zhang
Hanghang Tong
DiffM
426
13
0
01 Jun 2023
Deep Graph Representation Learning and Optimization for Influence Maximization
International Conference on Machine Learning (ICML), 2023
Chen Ling
Junji Jiang
Junxiang Wang
My T. Thai
Lukas Xue
James Song
M. Qiu
Bo Pan
162
144
0
01 May 2023
Two-stage Denoising Diffusion Model for Source Localization in Graph Inverse Problems
Bosong Huang
Weihao Yu
Ruzhong Xie
Jing Xiao
Jin Huang
DiffM
154
9
0
18 Apr 2023
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