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

Papers citing "Source Localization of Graph Diffusion via Variational Autoencoders for Graph Inverse Problems"

16 / 16 papers shown

Title
HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion Le Cheng Peican Zhu Yangming Guo Keke Tang Chao Gao Zhen Wang 2 0 0 19 May 2025
SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs Le Cheng Peican Zhu Yangming Guo Chao Gao Zhen Wang Keke Tang Mamba 6 0 0 19 May 2025
Structure-prior Informed Diffusion Model for Graph Source Localization with Limited Data Hongyi Chen Jingtao Ding Xiaojun Liang Yong Li Xiao-Ping Zhang DiffM 199 0 0 25 Feb 2025
GraphSL: An Open-Source Library for Graph Source Localization Approaches and Benchmark Datasets Junxiang Wang Liang Zhao 29 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 24 17 0 27 Feb 2024
MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization Nguyen H K. Do Tanmoy Chowdhury Chen Ling Liang Zhao My T. Thai 43 2 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 Liang Zhao Haifeng Chen 29 14 0 15 Feb 2024
Robust Node Representation Learning via Graph Variational Diffusion Networks Jun Zhuang M. A. Hasan 21 7 0 18 Dec 2023
Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First Zhengwu Zhang Junxiang Wang Liang Zhao 42 13 0 28 Oct 2023
Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction Guangji Bai Ziyang Yu Zheng Chai Yue Cheng Liang Zhao GNN 19 3 0 25 Aug 2023
Sequential Attention Source Identification Based on Feature Representation Dongpeng Hou Zhen Wang Chao Gao Xuelong Li 22 14 0 28 Jun 2023
Deep Demixing: Reconstructing the Evolution of Network Epidemics Boning Li Gojko Cutura A. Swami Santiago Segarra 21 0 0 11 Jun 2023
Reconstructing Graph Diffusion History from a Single Snapshot Ruizhong Qiu Dingsu Wang Lei Ying H. Vincent Poor Yifang Zhang Hanghang Tong DiffM 27 6 0 01 Jun 2023
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 30 95 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 23 3 0 18 Apr 2023
SMOTE: Synthetic Minority Over-sampling Technique Nitesh V. Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 163 25,256 0 09 Jun 2011