Diffusion Improves Graph Learning

28 October 2019

Stephan Günnemann

Papers citing "Diffusion Improves Graph Learning"

50 / 344 papers shown

Title
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Zihan Chen Xingbo Fu Yushun Dong Jundong Li Cong Shen FedML 69 0 0 29 Apr 2025
A Generative Graph Contrastive Learning Model with Global Signal Xiaofan Wei Binyan Zhang 101 0 0 25 Apr 2025
Graph Learning at Scale: Characterizing and Optimizing Pre-Propagation GNNs Zichao Yue Chenhui Deng Zhiru Zhang AI4CE 27 0 0 17 Apr 2025
GraphPINE: Graph Importance Propagation for Interpretable Drug Response Prediction Yoshitaka Inoue Tianfan Fu Augustin Luna 21 0 0 07 Apr 2025
Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Qishen Zhou Yifan Zhang Michail A. Makridis Anastasios Kouvelas Yibing Wang Simon Hu 49 0 0 20 Mar 2025
Diffusion on Graph: Augmentation of Graph Structure for Node Classification Yancheng Wang Changyu Liu Yingzhen Yang DiffM GNN 71 0 0 16 Mar 2025
TiGer: Self-Supervised Purification for Time-evolving Graphs Hyeonsoo Jo Jongha Lee Fanchen Bu Kijung Shin 41 0 0 10 Mar 2025
Edge Prompt Tuning for Graph Neural Networks Xingbo Fu Yinhan He Jundong Li 46 1 0 02 Mar 2025
A Fused Gromov-Wasserstein Approach to Subgraph Contrastive Learning Amadou S. Sangare Nicolas Dunou Jhony H. Giraldo Fragkiskos D. Malliaros SSL 62 0 0 28 Feb 2025
Learning Backbones: Sparsifying Graphs through Zero Forcing for Effective Graph-Based Learning O. Ahmad Anwar Said Mudassir Shabbir X. Koutsoukos W. Abbas 62 0 0 24 Feb 2025
Graph Neural Diffusion Networks for Semi-supervised Learning Wei Ye Zexi Huang Yunqi Hong Ambuj K. Singh GNN 74 3 0 24 Feb 2025
On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning Alvaro Arroyo Alessio Gravina Benjamin Gutteridge Federico Barbero Claudio Gallicchio Xiaowen Dong Michael M. Bronstein P. Vandergheynst 31 2 0 15 Feb 2025
Biologically Plausible Brain Graph Transformer Ciyuan Peng Yuelong Huang Qichao Dong Shuo Yu Feng Xia Chengqi Zhang Yaochu Jin 59 1 0 13 Feb 2025
What makes a good feedforward computational graph? Alex Vitvitskyi J. G. Araújo Marc Lackenby Petar Velickovic 80 1 0 10 Feb 2025
GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning Zhe-Rui Yang Jindong Han Chang-Dong Wang Hao Liu OffRL 33 1 0 08 Jan 2025
CLDG: Contrastive Learning on Dynamic Graphs Yiming Xu Bin Shi Teng Ma Bo Dong Haoyi Zhou Qinghua Zheng 104 15 0 19 Dec 2024
Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach Yichun Yang Rong-Hua Li Meihao Liao Longlong Lin Guoren Wang 61 0 0 14 Dec 2024
Rewiring Techniques to Mitigate Oversquashing and Oversmoothing in GNNs: A Survey Hugo Attali Davide Buscaldi Nathalie Pernelle AI4CE 64 1 0 26 Nov 2024
Partitioning Message Passing for Graph Fraud Detection Wei Zhuo Zemin Liu Bryan Hooi Bingsheng He Guang Tan Rizal Fathony Jia Chen 118 14 0 16 Nov 2024
Variational Graph Contrastive Learning Shifeng Xie Jhony H. Giraldo 30 0 0 11 Nov 2024
Higher-Order GNNs Meet Efficiency: Sparse Sobolev Graph Neural Networks Jhony H. Giraldo Aref Einizade Andjela Todorovic Jhon A. Castro-Correa Mohsen Badiey T. Bouwmans Fragkiskos D. Malliaros 31 0 0 07 Nov 2024
Towards Dynamic Message Passing on Graphs Junshu Sun Chenxue Yang Xiangyang Ji Qingming Huang Shuhui Wang 35 0 0 31 Oct 2024
Faster Local Solvers for Graph Diffusion Equations Jiahe Bai Baojian Zhou Deqing Yang Yanghua Xiao DiffM 28 1 0 29 Oct 2024
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks Pau Ferrer-Cid Jose M. Barcelo-Ordinas J. García-Vidal 37 2 0 28 Oct 2024
Can Self Supervision Rejuvenate Similarity-Based Link Prediction? Chenhan Zhang Weiqi Wang Zhiyi Tian James Jianqiao Yu Mohamed Ali Kaafar An Liu Shui Yu SSL 13 0 0 24 Oct 2024
Focus Where It Matters: Graph Selective State Focused Attention Networks Shikhar Vashistha Neetesh Kumar 25 0 0 21 Oct 2024
Text Classification using Graph Convolutional Networks: A Comprehensive Survey Syed Mustafa Haider Rizvi Ramsha Imran Arif Mahmood GNN OOD FaML 21 0 0 12 Oct 2024
Cayley Graph Propagation JJ Wilson Maya Bechler-Speicher Petar Veličković 30 4 0 04 Oct 2024
Does Graph Prompt Work? A Data Operation Perspective with Theoretical Analysis Qunzhong Wang Xiangguo Sun Hong Cheng 25 3 0 02 Oct 2024
PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems Bocheng Zeng Qi Wang M. Yan Y. Liu Ruizhi Chengze Yi Zhang Hongsheng Liu Zidong Wang Hao Sun AI4CE 21 3 0 02 Oct 2024
DropEdge not Foolproof: Effective Augmentation Method for Signed Graph Neural Networks Zeyu Zhang Lu Li Shuyan Wan Sijie Wang Zhiyi Wang Zhiyuan Lu Dong Hao Wanli Li 33 2 0 29 Sep 2024
Flexible Diffusion Scopes with Parameterized Laplacian for Heterophilic Graph Learning Qincheng Lu Jiaqi Zhu Sitao Luan Xiao-Wen Chang 28 2 0 15 Sep 2024
Neural Message Passing Induced by Energy-Constrained Diffusion Qitian Wu David Wipf Junchi Yan DiffM 47 1 0 13 Sep 2024
Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting Lirong Wu Haitao Lin Guojiang Zhao Cheng Tan Stan Z. Li 21 0 0 09 Sep 2024
Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier Lu Yi Zhewei Wei MU 51 1 0 17 Aug 2024
Joint Graph Rewiring and Feature Denoising via Spectral Resonance Jonas Linkerhagner Cheng Shi Ivan Dokmanić 33 0 0 13 Aug 2024
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training Yonghao Liu Mengyu Li Ximing Li Lan Huang Fausto Giunchiglia Yanchun Liang Xiaoyue Feng Renchu Guan SSL 36 4 0 20 Jul 2024
Latent Conditional Diffusion-based Data Augmentation for Continuous-Time Dynamic Graph Model Yuxing Tian Yiyan Qi Aiwen Jiang Qi Huang Jian Guo DiffM 21 0 0 11 Jul 2024
Synchronous Diffusion for Unsupervised Smooth Non-Rigid 3D Shape Matching Dongliang Cao Zorah Laehner Florian Bernard DiffM 35 0 0 11 Jul 2024
Structure-Aware Consensus Network on Graphs with Few Labeled Nodes Shuaike Xu Xiaolin Zhang Peng Zhang Kun Zhan 38 1 0 02 Jul 2024
A Learned Generalized Geodesic Distance Function-Based Approach for Node Feature Augmentation on Graphs Amitoz Azad Yuan Fang 32 1 0 01 Jul 2024
NTFormer: A Composite Node Tokenized Graph Transformer for Node Classification Jinsong Chen Siyu Jiang Kun He 39 1 0 27 Jun 2024
TopoGCL: Topological Graph Contrastive Learning Yuzhou Chen José Frías Yulia R. Gel 29 8 0 25 Jun 2024
Inference of Sequential Patterns for Neural Message Passing in Temporal Graphs J. V. Pichowski Vincenzo Perri Lisi Qarkaxhija Ingo Scholtes 32 1 0 24 Jun 2024
Differentially Private Graph Diffusion with Applications in Personalized PageRanks Rongzhe Wei Eli Chien P. Li 30 5 0 22 Jun 2024
Graph Neural Reaction Diffusion Models Moshe Eliasof Eldad Haber Eran Treister DiffM AI4CE 26 2 0 16 Jun 2024
Benchmarking Spectral Graph Neural Networks: A Comprehensive Study on Effectiveness and Efficiency Ningyi Liao Haoyu Liu Zulun Zhu Siqiang Luo L. Lakshmanan 34 2 0 14 Jun 2024
Efficient Topology-aware Data Augmentation for High-Degree Graph Neural Networks Yurui Lai Xiaoyang Lin Renchi Yang Hongtao Wang 39 2 0 08 Jun 2024
PANDA: Expanded Width-Aware Message Passing Beyond Rewiring Jeongwhan Choi Sumin Park Hyowon Wi Sung-Bae Cho Noseong Park GNN 39 2 0 06 Jun 2024
Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach Haoyu Han Juanhui Li Wei Huang Xianfeng Tang Hanqing Lu Chen Luo Hui Liu Jiliang Tang 38 5 0 05 Jun 2024