Adaptive Universal Generalized PageRank Graph Neural Network

14 June 2020

Papers citing "Adaptive Universal Generalized PageRank Graph Neural Network"

50 / 102 papers shown

Title
Addressing Noise and Stochasticity in Fraud Detection for Service Networks Wenxin Zhang Ding Xu Xi Xuan Lei Jiang Guangzhen Yao Renda Han Xiangxiang Lang Cuicui Luo 65 0 0 02 May 2025
Graph Spectral Filtering with Chebyshev Interpolation for Recommendation Chanwoo Kim Jinkyu Sung Yebonn Han Joonseok Lee GNN 37 0 0 01 May 2025
Understanding GNNs and Homophily in Dynamic Node Classification Michael Ito Danai Koutra Jenna Wiens 85 1 0 29 Apr 2025
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
Hierarchical Uncertainty-Aware Graph Neural Network Yoonhyuk Choi Jiho Choi Taewook Ko Chong-Kwon Kim 75 0 0 28 Apr 2025
Active Few-Shot Learning for Vertex Classification Starting from an Unlabeled Dataset Felix Burr Marcel Hoffmann A. Scherp SSL 109 0 0 25 Apr 2025
A Generative Graph Contrastive Learning Model with Global Signal Xiaofan Wei Binyan Zhang 77 0 0 25 Apr 2025
Efficient Learning on Large Graphs using a Densifying Regularity Lemma Jonathan Kouchly Ben Finkelshtein M. Bronstein Ron Levie 39 0 0 25 Apr 2025
Dual-channel Heterophilic Message Passing for Graph Fraud Detection W. Zhang Jingxing Zhong Guangzhen Yao Renda Han Xiaojian Lin Zeyu Zhang Cuicui Luo 31 0 0 19 Apr 2025
Effective High-order Graph Representation Learning for Credit Card Fraud Detection Yao Zou Dawei Cheng 38 1 0 03 Mar 2025
Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs Yuhan Chen Yihong Luo Yifan Song Pengwen Dai Jing Tang Xiaochun Cao OODD 37 1 0 25 Feb 2025
Recent Advances in Malware Detection: Graph Learning and Explainability Hossein Shokouhinejad Roozbeh Razavi-Far Hesamodin Mohammadian Mahdi Rabbani Samuel Ansong Griffin Higgins Ali Ghorbani AAML 68 2 0 14 Feb 2025
DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Qin Chen Liang Wang Bo Zheng Guojie Song 36 2 0 28 Jan 2025
Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space Xin He Y. Wang Wenqi Fan Xu Shen Xin Juan Rui Miao Xin Wang 68 0 0 26 Jan 2025
Graph Triple Attention Network: A Decoupled Perspective Xiaotang Wang Yun Zhu Haizhou Shi Yongchao Liu Chuntao Hong 60 2 0 03 Jan 2025
Humans as a Calibration Pattern: Dynamic 3D Scene Reconstruction from Unsynchronized and Uncalibrated Videos Changwoon Choi Jeongjun Kim Geonho Cha Minkwan Kim Dongyoon Wee Young Min Kim 3DH 42 0 0 26 Dec 2024
THeGCN: Temporal Heterophilic Graph Convolutional Network Yuchen Yan Yuzhong Chen Huiyuan Chen Xiaoting Li Zhe Xu Zhichen Zeng Lihui Liu Zhining Liu Hanghang Tong 82 0 0 21 Dec 2024
GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers Guoguo Ai Guansong Pang Hezhe Qiao Yuan Gao Hui Yan 67 0 0 26 Nov 2024
When Graph Neural Networks Meet Dynamic Mode Decomposition Dai Shi Lequan Lin Andi Han Zhiyong Wang Yi Guo Junbin Gao AI4CE 23 0 0 08 Oct 2024
Preventing Representational Rank Collapse in MPNNs by Splitting the Computational Graph Andreas Roth Franka Bause Nils M. Kriege Thomas Liebig 28 2 0 17 Sep 2024
Generalized Learning of Coefficients in Spectral Graph Convolutional Networks Mustafa Coşkun A. Grama Mehmet Koyutürk 30 0 0 07 Sep 2024
Exploring the Potential of Large Language Models for Heterophilic Graphs Yuxia Wu Shujie Li Yuan Fang Chuan Shi 32 1 0 26 Aug 2024
Leveraging Invariant Principle for Heterophilic Graph Structure Distribution Shifts Jinluan Yang Zhengyu Chen Teng Xiao Wenqiao Zhang Yong Lin Kun Kuang 51 1 0 18 Aug 2024
Joint Graph Rewiring and Feature Denoising via Spectral Resonance Jonas Linkerhagner Cheng Shi Ivan Dokmanić 33 0 0 13 Aug 2024
Scalable Graph Compressed Convolutions Junshu Sun Chen Yang Shuhui Wang Qingming Huang GNN 31 0 0 26 Jul 2024
GCON: Differentially Private Graph Convolutional Network via Objective Perturbation Jianxin Wei Yizheng Zhu Xiaokui Xiao Ergute Bao Yin Yang Kuntai Cai Beng Chin Ooi AAML 27 0 0 06 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
Commute Graph Neural Networks Wei Zhuo Han Yu Guang Tan Xiaoxiao Li GNN 90 1 0 30 Jun 2024
Differentially Private Graph Diffusion with Applications in Personalized PageRanks Rongzhe Wei Eli Chien P. Li 30 5 0 22 Jun 2024
Graph Edge Representation via Tensor Product Graph Convolutional Representation Bo Jiang Sheng Ge Ziyan Zhang Beibei Wang Jin Tang Bin Luo GNN 31 0 0 21 Jun 2024
Graph Neural Reaction Diffusion Models Moshe Eliasof Eldad Haber Eran Treister DiffM AI4CE 21 2 0 16 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 33 5 0 05 Jun 2024
How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing Keke Huang Yu Guang Wang Ming Li Pietro Lió 35 17 0 21 May 2024
Contextualized Messages Boost Graph Representations Brian Godwin Lim Galvin Brice Lim Renzo Roel Tan Kazushi Ikeda AI4CE 62 1 0 19 Mar 2024
Simplified PCNet with Robustness Bingheng Li Xuanting Xie Haoxiang Lei Ruiyi Fang Zhao Kang 22 5 0 06 Mar 2024
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching Yuchen Zhang Tianle Zhang Kai Wang Ziyao Guo Yuxuan Liang Xavier Bresson Wei Jin Yang You 28 23 0 07 Feb 2024
DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding Representations Jinlu Wang Jipeng Guo Yanfeng Sun Junbin Gao Shaofan Wang Yachao Yang Baocai Yin AI4CE 21 2 0 28 Jan 2024
Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction Kangkang Lu Yanhua Yu Hao Fei Xuan Li Zixuan Yang Zirui Guo Meiyu Liang Mengran Yin Tat-Seng Chua 11 2 0 28 Jan 2024
Towards Effective and General Graph Unlearning via Mutual Evolution Xunkai Li Yulin Zhao Zhengyu Wu Wentao Zhang Ronghua Li Guoren Wang MU 20 13 0 22 Jan 2024
Curriculum-Enhanced Residual Soft An-Isotropic Normalization for Over-smoothness in Deep GNNs Jin Li Qirong Zhang Shuling Xu Xinlong Chen Longkun Guo Yanglan Fu 21 0 0 13 Dec 2023
Polynomial-based Self-Attention for Table Representation learning Jayoung Kim Yehjin Shin Jeongwhan Choi Hyowon Wi Noseong Park LMTD 17 2 0 12 Dec 2023
Graph Convolutions Enrich the Self-Attention in Transformers! Jeongwhan Choi Hyowon Wi Jayoung Kim Yehjin Shin Kookjin Lee Nathaniel Trask Noseong Park 25 4 0 07 Dec 2023
Mixture of Weak & Strong Experts on Graphs Hanqing Zeng Hanjia Lyu Diyi Hu Yinglong Xia Jiebo Luo 23 3 0 09 Nov 2023
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications Huayi Tang Yong Liu 53 1 0 08 Nov 2023
Graph Convolutional Network with Connectivity Uncertainty for EEG-based Emotion Recognition Hongxiang Gao Xiangyao Wang Zhenghua Chen Min-man Wu Zhipeng Cai Lulu Zhao Jianqing Li Chengyu Liu 25 9 0 22 Oct 2023
Graph Distillation with Eigenbasis Matching Yang Liu Deyu Bo Chuan Shi DD 26 9 0 13 Oct 2023
Hypergraph Neural Networks through the Lens of Message Passing: A Common Perspective to Homophily and Architecture Design Lev Telyatnikov Maria Sofia Bucarelli Guillermo Bernardez Olga Zaghen Simone Scardapane Pietro Lió 28 10 0 11 Oct 2023
Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural Networks Andreas Roth Thomas Liebig 29 11 0 31 Aug 2023
Efficient and Explainable Graph Neural Architecture Search via Monte-Carlo Tree Search Yuya Sasaki 25 0 0 30 Aug 2023
The Expressive Power of Graph Neural Networks: A Survey Bingxue Zhang Changjun Fan Shixuan Liu Kuihua Huang Xiang Zhao Jin-Yu Huang Zhong Liu 40 19 0 16 Aug 2023