Structure-prior Informed Diffusion Model for Graph Source Localization with Limited Data
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Hongyi, Ding, Jingtao, Liang, Xiaojun, Li, Yong, Zhang, Xiao-Ping |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Social Physics Informed Diffusion Model for Crowd Simulation
by: Chen, Hongyi, et al.
Published: (2024)
by: Chen, Hongyi, et al.
Published: (2024)
Sample-Efficient Diffusion-based Control of Complex Physics Systems
by: Chen, Hongyi, et al.
Published: (2025)
by: Chen, Hongyi, et al.
Published: (2025)
Inferring Network Evolutionary History via Structure-State Coupled Learning
by: Xu, En, et al.
Published: (2026)
by: Xu, En, et al.
Published: (2026)
A Comprehensive Survey on Artificial Intelligence for Complex Network: Potential, Methodology and Application
by: Ding, Jingtao, et al.
Published: (2024)
by: Ding, Jingtao, et al.
Published: (2024)
Graph-based Diffusion Model for Collaborative Filtering
by: Zhang, Xuan, et al.
Published: (2025)
by: Zhang, Xuan, et al.
Published: (2025)
Bi-Level Graph Structure Learning for Next POI Recommendation
by: Wang, Liang, et al.
Published: (2024)
by: Wang, Liang, et al.
Published: (2024)
Graph Data Condensation via Self-expressive Graph Structure Reconstruction
by: Liu, Zhanyu, et al.
Published: (2024)
by: Liu, Zhanyu, et al.
Published: (2024)
PID-controlled Langevin Dynamics for Faster Sampling of Generative Models
by: Chen, Hongyi, et al.
Published: (2025)
by: Chen, Hongyi, et al.
Published: (2025)
A Survey of Data-Efficient Graph Learning
by: Ju, Wei, et al.
Published: (2024)
by: Ju, Wei, et al.
Published: (2024)
Enhancing Graph Transformers with Hierarchical Distance Structural Encoding
by: Luo, Yuankai, et al.
Published: (2023)
by: Luo, Yuankai, et al.
Published: (2023)
Label Informed Contrastive Pretraining for Node Importance Estimation on Knowledge Graphs
by: Zhang, Tianyu, et al.
Published: (2024)
by: Zhang, Tianyu, et al.
Published: (2024)
Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation
by: Zhao, Chu, et al.
Published: (2024)
by: Zhao, Chu, et al.
Published: (2024)
Structure-Centric Graph Foundation Model via Geometric Bases
by: He, Xiaodong, et al.
Published: (2026)
by: He, Xiaodong, et al.
Published: (2026)
Self-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignment
by: Liu, Meng, et al.
Published: (2023)
by: Liu, Meng, et al.
Published: (2023)
Towards Adaptive Neighborhood for Advancing Temporal Interaction Graph Modeling
by: Zhang, Siwei, et al.
Published: (2024)
by: Zhang, Siwei, et al.
Published: (2024)
A Comprehensive Data-centric Overview of Federated Graph Learning
by: Wu, Zhengyu, et al.
Published: (2025)
by: Wu, Zhengyu, et al.
Published: (2025)
LinkSAGE: Optimizing Job Matching Using Graph Neural Networks
by: Liu, Ping, et al.
Published: (2024)
by: Liu, Ping, et al.
Published: (2024)
Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order Connectivity
by: Hou, Yu, et al.
Published: (2024)
by: Hou, Yu, et al.
Published: (2024)
DisenSemi: Semi-supervised Graph Classification via Disentangled Representation Learning
by: Wang, Yifan, et al.
Published: (2024)
by: Wang, Yifan, et al.
Published: (2024)
Non-Dissipative Graph Propagation for Non-Local Community Detection
by: Leeney, William, et al.
Published: (2025)
by: Leeney, William, et al.
Published: (2025)
Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees
by: Wang, Zehong, et al.
Published: (2024)
by: Wang, Zehong, et al.
Published: (2024)
Hypergraph-enhanced Dual Semi-supervised Graph Classification
by: Ju, Wei, et al.
Published: (2024)
by: Ju, Wei, et al.
Published: (2024)
Mitigating topology biases in Graph Diffusion via Counterfactual Intervention
by: Wang, Wendi, et al.
Published: (2026)
by: Wang, Wendi, et al.
Published: (2026)
Towards Graph Prompt Learning: A Survey and Beyond
by: Long, Qingqing, et al.
Published: (2024)
by: Long, Qingqing, et al.
Published: (2024)
Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions
by: Li, Cheng-Te, et al.
Published: (2024)
by: Li, Cheng-Te, et al.
Published: (2024)
GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion
by: Cheng, Le, et al.
Published: (2024)
by: Cheng, Le, et al.
Published: (2024)
Graph Foundation Models: A Comprehensive Survey
by: Wang, Zehong, et al.
Published: (2025)
by: Wang, Zehong, et al.
Published: (2025)
Turbo-CF: Matrix Decomposition-Free Graph Filtering for Fast Recommendation
by: Park, Jin-Duk, et al.
Published: (2024)
by: Park, Jin-Duk, et al.
Published: (2024)
GFT: Graph Foundation Model with Transferable Tree Vocabulary
by: Wang, Zehong, et al.
Published: (2024)
by: Wang, Zehong, et al.
Published: (2024)
GraphViz2Vec: A Structure-aware Feature Generation Model to Improve Classification in GNNs
by: Chatterjee, Shraban Kumar, et al.
Published: (2024)
by: Chatterjee, Shraban Kumar, et al.
Published: (2024)
Hyperbolic Heterogeneous Graph Transformer
by: Park, Jongmin, et al.
Published: (2026)
by: Park, Jongmin, et al.
Published: (2026)
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector
by: Li, Jinghan, et al.
Published: (2024)
by: Li, Jinghan, et al.
Published: (2024)
Score-based Generative Diffusion Models for Social Recommendations
by: Liu, Chengyi, et al.
Published: (2024)
by: Liu, Chengyi, et al.
Published: (2024)
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting
by: Ju, Wei, et al.
Published: (2024)
by: Ju, Wei, et al.
Published: (2024)
OpenGraph: Towards Open Graph Foundation Models
by: Xia, Lianghao, et al.
Published: (2024)
by: Xia, Lianghao, et al.
Published: (2024)
Fast Think-on-Graph: Wider, Deeper and Faster Reasoning of Large Language Model on Knowledge Graph
by: Liang, Xujian, et al.
Published: (2025)
by: Liang, Xujian, et al.
Published: (2025)
Simple Graph Condensation
by: Xiao, Zhenbang, et al.
Published: (2024)
by: Xiao, Zhenbang, et al.
Published: (2024)
Metapath-based Hyperbolic Contrastive Learning for Heterogeneous Graph Embedding
by: Park, Jongmin, et al.
Published: (2025)
by: Park, Jongmin, et al.
Published: (2025)
HGOT: Self-supervised Heterogeneous Graph Neural Network with Optimal Transport
by: Liu, Yanbei, et al.
Published: (2025)
by: Liu, Yanbei, et al.
Published: (2025)
Prompt Learning on Temporal Interaction Graphs
by: Chen, Xi, et al.
Published: (2024)
by: Chen, Xi, et al.
Published: (2024)
Similar Items
-
Social Physics Informed Diffusion Model for Crowd Simulation
by: Chen, Hongyi, et al.
Published: (2024) -
Sample-Efficient Diffusion-based Control of Complex Physics Systems
by: Chen, Hongyi, et al.
Published: (2025) -
Inferring Network Evolutionary History via Structure-State Coupled Learning
by: Xu, En, et al.
Published: (2026) -
A Comprehensive Survey on Artificial Intelligence for Complex Network: Potential, Methodology and Application
by: Ding, Jingtao, et al.
Published: (2024) -
Graph-based Diffusion Model for Collaborative Filtering
by: Zhang, Xuan, et al.
Published: (2025)