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A Generalized Neural Diffusion Framework on Graphs
v1v2v3v4v5 (latest)

A Generalized Neural Diffusion Framework on Graphs

AAAI Conference on Artificial Intelligence (AAAI), 2023
14 December 2023
Yibo Li
Xiao Wang
Hongrui Liu
Chuan Shi
    DiffMAI4CE
ArXiv (abs)PDFHTML

Papers citing "A Generalized Neural Diffusion Framework on Graphs"

13 / 13 papers shown
Title
Rethinking Message Passing Neural Networks with Diffusion Distance-guided Stress Majorization
Rethinking Message Passing Neural Networks with Diffusion Distance-guided Stress Majorization
Haoran Zheng
Renchi Yang
Yubo Zhou
Jianliang Xu
32
0
0
25 Nov 2025
An Active Diffusion Neural Network for Graphs
An Active Diffusion Neural Network for Graphs
Mengying Jiang
GNN
162
0
0
22 Oct 2025
Towards Pre-trained Graph Condensation via Optimal Transport
Towards Pre-trained Graph Condensation via Optimal Transport
Yeyu Yan
Shuai Zheng
Wenjun Hui
Xiangkai Zhu
Dong Chen
Zhenfeng Zhu
Yao Zhao
Kunlun He
OT
192
0
0
18 Sep 2025
Physics-Inspired Spatial Temporal Graph Neural Networks for Predicting Industrial Chain Resilience
Physics-Inspired Spatial Temporal Graph Neural Networks for Predicting Industrial Chain Resilience
Bicheng Wang
Junping Wang
Yibo Xue
AI4CE
68
0
0
22 Aug 2025
Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations
Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations
Juwei Yue
Haikuo Li
Jiawei Sheng
Xiaodong Li
Taoyu Su
Tingwen Liu
Li Guo
181
1
0
29 May 2025
Graph Wave Networks
Graph Wave NetworksThe Web Conference (WWW), 2025
Juwei Yue
Haikuo Li
Jiawei Sheng
Yihan Guo
Xinghua Zhang
Chuan Zhou
Tingwen Liu
Li Guo
560
3
0
26 May 2025
Biologically Plausible Brain Graph Transformer
Biologically Plausible Brain Graph TransformerInternational Conference on Learning Representations (ICLR), 2025
Ciyuan Peng
Yuelong Huang
Qichao Dong
Shuo Yu
Xiwei Xu
Chengqi Zhang
Yaochu Jin
257
5
0
13 Feb 2025
S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral DomainWeb Search and Data Mining (WSDM), 2024
Rui Xia
Yanhua Cheng
Yongxiang Tang
Xiaocheng Liu
Xialong Liu
Lisong Wang
Peng Jiang
DiffM
274
7
0
03 Jan 2025
Graph Fairness Learning under Distribution Shifts
Graph Fairness Learning under Distribution Shifts
Yibo Li
Xiao Wang
Yujie Xing
Shaohua Fan
Ruijia Wang
Yaoqi Liu
Chuan Shi
OOD
182
14
0
30 Jan 2024
Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance
  Sparse Information Aggregation
Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation
Ruizhe Zhang
Xinke Jiang
Yuchen Fang
Jiayuan Luo
Yongxin Xu
Yichen Zhu
Xu Chu
Junfeng Zhao
Yasha Wang
209
2
0
18 Jan 2024
HGPROMPT: Bridging Homogeneous and Heterogeneous Graphs for Few-shot
  Prompt Learning
HGPROMPT: Bridging Homogeneous and Heterogeneous Graphs for Few-shot Prompt LearningAAAI Conference on Artificial Intelligence (AAAI), 2023
Xingtong Yu
Yuan Fang
Zemin Liu
Xinming Zhang
446
56
0
04 Dec 2023
MultiGPrompt for Multi-Task Pre-Training and Prompting on Graphs
MultiGPrompt for Multi-Task Pre-Training and Prompting on GraphsThe Web Conference (WWW), 2023
Xingtong Yu
Chang Zhou
Yuan Fang
Xinming Zhang
488
52
0
28 Nov 2023
Generalized Graph Prompt: Toward a Unification of Pre-Training and
  Downstream Tasks on Graphs
Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on GraphsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Xingtong Yu
Zhenghao Liu
Yuan Fang
Zemin Liu
Sihong Chen
Xinming Zhang
346
46
0
26 Nov 2023
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