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Source Localization of Graph Diffusion via Variational Autoencoders for
  Graph Inverse Problems

Source Localization of Graph Diffusion via Variational Autoencoders for Graph Inverse Problems

24 June 2022
Chen Ling
Junji Jiang
Junxiang Wang
Liang Zhao
    DiffM
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Papers citing "Source Localization of Graph Diffusion via Variational Autoencoders for Graph Inverse Problems"

14 / 14 papers shown
Title
Structure-prior Informed Diffusion Model for Graph Source Localization with Limited Data
Structure-prior Informed Diffusion Model for Graph Source Localization with Limited Data
Hongyi Chen
Jingtao Ding
Xiaojun Liang
Yong Li
Xiao-Ping Zhang
DiffM
118
0
0
25 Feb 2025
GraphSL: An Open-Source Library for Graph Source Localization Approaches
  and Benchmark Datasets
GraphSL: An Open-Source Library for Graph Source Localization Approaches and Benchmark Datasets
Junxiang Wang
Liang Zhao
25
0
0
06 May 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
22
15
0
27 Feb 2024
MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex
  Influence Maximization
MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization
Nguyen H K. Do
Tanmoy Chowdhury
Chen Ling
Liang Zhao
My T. Thai
35
2
0
24 Feb 2024
Uncertainty Quantification for In-Context Learning of Large Language
  Models
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
Liang Zhao
Haifeng Chen
26
13
0
15 Feb 2024
Robust Node Representation Learning via Graph Variational Diffusion
  Networks
Robust Node Representation Learning via Graph Variational Diffusion Networks
Jun Zhuang
M. A. Hasan
16
7
0
18 Dec 2023
Curriculum Learning for Graph Neural Networks: Which Edges Should We
  Learn First
Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First
Zhengwu Zhang
Junxiang Wang
Liang Zhao
32
13
0
28 Oct 2023
Staleness-Alleviated Distributed GNN Training via Online
  Dynamic-Embedding Prediction
Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction
Guangji Bai
Ziyang Yu
Zheng Chai
Yue Cheng
Liang Zhao
GNN
14
3
0
25 Aug 2023
Sequential Attention Source Identification Based on Feature
  Representation
Sequential Attention Source Identification Based on Feature Representation
Dongpeng Hou
Zhen Wang
Chao Gao
Xuelong Li
14
14
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
8
0
0
11 Jun 2023
Reconstructing Graph Diffusion History from a Single Snapshot
Reconstructing Graph Diffusion History from a Single Snapshot
Ruizhong Qiu
Dingsu Wang
Lei Ying
H. Vincent Poor
Yifang Zhang
Hanghang Tong
DiffM
11
6
0
01 Jun 2023
Deep Graph Representation Learning and Optimization for Influence
  Maximization
Deep Graph Representation Learning and Optimization for Influence Maximization
Chen Ling
Junji Jiang
Junxiang Wang
My T. Thai
Lukas Xue
James Song
M. Qiu
Liang Zhao
28
94
0
01 May 2023
Two-stage Denoising Diffusion Model for Source Localization in Graph
  Inverse Problems
Two-stage Denoising Diffusion Model for Source Localization in Graph Inverse Problems
Bosong Huang
Weihao Yu
Ruzhong Xie
Jing Xiao
Jin Huang
DiffM
12
2
0
18 Apr 2023
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh V. Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
160
25,214
0
09 Jun 2011
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