N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification

24 February 2018

Joonseok Lee

Papers citing "N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification"

50 / 91 papers shown

Title
Graph Neural Diffusion Networks for Semi-supervised Learning Wei Ye Zexi Huang Yunqi Hong Ambuj K. Singh GNN 79 3 0 24 Feb 2025
Redesigning graph filter-based GNNs to relax the homophily assumption Samuel Rey Madeline Navarro Victor M. Tenorio Santiago Segarra Antonio G. Marques 30 1 0 13 Sep 2024
Decoding Climate Disagreement: A Graph Neural Network-Based Approach to Understanding Social Media Dynamics Ruiran Su J. Pierrehumbert 31 0 0 09 Jul 2024
The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs Kun Wang Guibin Zhang Xinnan Zhang Junfeng Fang Xun Wu Guohao Li Shirui Pan Wei-Ming Huang Yuxuan Liang 30 4 0 18 Jun 2024
Enhancing the Resilience of Graph Neural Networks to Topological Perturbations in Sparse Graphs Shuqi He Jun Zhuang Ding Wang Luyao Peng Jun Song AAML 39 1 0 05 Jun 2024
ENADPool: The Edge-Node Attention-based Differentiable Pooling for Graph Neural Networks Zhehan Zhao Lu Bai Lixin Cui Ming Li Yue Wang Lixiang Xu Edwin R. Hancock 38 3 0 16 May 2024
Simplified PCNet with Robustness Bingheng Li Xuanting Xie Haoxiang Lei Ruiyi Fang Zhao Kang 34 5 0 06 Mar 2024
EMP: Effective Multidimensional Persistence for Graph Representation Learning I. Segovia-Dominguez Yuzhou Chen Cüneyt Gürcan Akçora Zhiwei Zhen Murat Kantarcioglu Yulia R. Gel Baris Coskunuzer 51 4 0 24 Jan 2024
Benchmarking Machine Learning Models for Quantum Error Correction Yue Zhao 19 1 0 18 Nov 2023
DRIN: Dynamic Relation Interactive Network for Multimodal Entity Linking Shangyu Xing Fei Zhao Zhen Wu Chunhui Li Jianbing Zhang Xinyu Dai 28 8 0 09 Oct 2023
From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited Zheng Wang H. Ding L. Pan Jianhua Li Zhiguo Gong Philip S. Yu GNN 18 5 0 24 Sep 2023
A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects Haomin Wen Youfang Lin Lixia Wu Xiaowei Mao Tianyu Cai ... Guangyin Jin Yiji Zhao Roger Zimmermann Jieping Ye Huaiyu Wan AI4TS 34 4 0 03 Sep 2023
The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive field Kun Wang Guohao Li Shilong Wang Guibin Zhang K. Wang Yang You Xiaojiang Peng Yuxuan Liang Yang Wang 29 8 0 19 Aug 2023
Digital Twin-Oriented Complex Networked Systems based on Heterogeneous Node Features and Interaction Rules Jiaqi Wen Bogdan Gabrys Katarzyna Musial 9 5 0 18 Aug 2023
Torsion Graph Neural Networks Cong Shen Xiang Liu Jiawei Luo Kelin Xia 29 0 0 23 Jun 2023
DRew: Dynamically Rewired Message Passing with Delay Benjamin Gutteridge Xiaowen Dong Michael M. Bronstein Francesco Di Giovanni 32 58 0 13 May 2023
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling Haotao Wang Ziyu Jiang Yuning You Yan Han Gaowen Liu Jayanth Srinivasa Ramana Rao Kompella Zhangyang Wang 21 28 0 06 Apr 2023
GANN: Graph Alignment Neural Network for Semi-Supervised Learning Linxuan Song Wenxuan Tu Sihang Zhou Xinwang Liu En Zhu 22 4 0 14 Mar 2023
Path Integral Based Convolution and Pooling for Heterogeneous Graph Neural Networks Lingjie Kong Yun Liao GNN 16 1 0 26 Feb 2023
Dual Policy Learning for Aggregation Optimization in Graph Neural Network-based Recommender Systems Heesoo Jung Sangpil Kim Hogun Park 13 5 0 21 Feb 2023
Simplifying Subgraph Representation Learning for Scalable Link Prediction Paul Louis Shweta Ann Jacob Amirali Salehi-Abari 18 8 0 29 Jan 2023
Demystifying Bitcoin Address Behavior via Graph Neural Networks Zhen-Ji Huang Yunyang Huang Peng Qian Jianhai Chen Qinming He GNN 25 6 0 26 Nov 2022
MGNNI: Multiscale Graph Neural Networks with Implicit Layers Juncheng Liu Bryan Hooi Kenji Kawaguchi X. Xiao AI4CE 24 20 0 15 Oct 2022
GPNet: Simplifying Graph Neural Networks via Multi-channel Geometric Polynomials Xun Liu Alex Hay-Man Ng Fangyu Lei Yikuan Zhang Zhengmin Li GNN 22 1 0 30 Sep 2022
How Powerful is Implicit Denoising in Graph Neural Networks Songtao Liu Rex Ying Hanze Dong Lu Lin Jinghui Chen Di Wu GNN AI4CE 22 3 0 29 Sep 2022
Hierarchy exploitation to detect missing annotations on hierarchical multi-label classification Miguel Romero F. Nakano J. Finke C. Rocha C. Vens 19 0 0 13 Jul 2022
Shortest Path Networks for Graph Property Prediction Ralph Abboud Radoslav Dimitrov .Ismail .Ilkan Ceylan GNN 24 44 0 02 Jun 2022
A Top-down Supervised Learning Approach to Hierarchical Multi-label Classification in Networks Miguel Romero J. Finke C. Rocha 14 13 0 23 Mar 2022
G $^3$ SR: Global Graph Guided Session-based Recommendation Zhiwei Deng Changdong Wang Ling Huang Jianhuang Lai Philip S. Yu 11 13 0 12 Mar 2022
Towards Digital Twin Oriented Modelling of Complex Networked Systems and Their Dynamics: A Comprehensive Survey Jiaqi Wen Bogdan Gabrys Katarzyna Musial AI4CE 31 29 0 15 Feb 2022
Stratified Graph Spectra Fanchao Meng M. Orr S. Swarup 11 0 0 10 Jan 2022
SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks Weigang Lu Yibing Zhan Binbin Lin Ziyu Guan Liu Liu Baosheng Yu Wei Zhao Yaming Yang Dacheng Tao GNN 13 13 0 22 Dec 2021
A Piece-wise Polynomial Filtering Approach for Graph Neural Networks Vijay Lingam C. Ekbote Manan Sharma Rahul Ragesh Arun Shankar Iyer Sundararajan Sellamanickam 28 6 0 07 Dec 2021
$p$ -Laplacian Based Graph Neural Networks Guoji Fu P. Zhao Yatao Bian 14 44 0 14 Nov 2021
Topological Relational Learning on Graphs Yuzhou Chen Baris Coskunuzer Yulia R. Gel 25 38 0 29 Oct 2021
Haar Wavelet Feature Compression for Quantized Graph Convolutional Networks Moshe Eliasof Ben Bodner Eran Treister GNN 30 7 0 10 Oct 2021
Multiscale Laplacian Learning E. Merkurjev D. Nguyen Guo-Wei Wei 37 4 0 08 Sep 2021
HMSG: Heterogeneous Graph Neural Network based on Metapath Subgraph Learning Xinjun Cai Jiaxing Shang Fei Hao Dajiang Liu Linjiang Zheng 21 19 0 07 Sep 2021
RRLFSOR: An Efficient Self-Supervised Learning Strategy of Graph Convolutional Networks Feng Sun Ajith Kumar Guanci Yang Qikui Zhu Yiyun Zhang Ansi Zhang Dhruv Makwana SSL GNN 28 0 0 17 Aug 2021
Effective Eigendecomposition based Graph Adaptation for Heterophilic Networks Vijay Lingam Rahul Ragesh Arun Shankar Iyer Sundararajan Sellamanickam 37 0 0 28 Jul 2021
Dual GNNs: Graph Neural Network Learning with Limited Supervision Abdullah Alchihabi Yuhong Guo 6 0 0 29 Jun 2021
Affinity Attention Graph Neural Network for Weakly Supervised Semantic Segmentation Bingfeng Zhang Jimin Xiao Jianbo Jiao Yunchao Wei Yao-Min Zhao 25 93 0 08 Jun 2021
Relational Graph Neural Network Design via Progressive Neural Architecture Search Ailing Zeng Minhao Liu Zhiwei Liu Ruiyuan Gao Jing Qin Qiang Xu 19 0 0 30 May 2021
SMASH: Sparse Matrix Atomic Scratchpad Hashing Kaustubh Shivdikar 9 7 0 29 May 2021
Boosting-GNN: Boosting Algorithm for Graph Networks on Imbalanced Node Classification S. Shi Kai Qiao Shuai Yang Linyuan Wang Jian Chen B. Yan AI4CE 11 28 0 25 May 2021
Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth Keyulu Xu Mozhi Zhang Stefanie Jegelka Kenji Kawaguchi GNN 12 75 0 10 May 2021
Graph-based Semi-supervised Learning: A Comprehensive Review Zixing Song Xiangli Yang Zenglin Xu Irwin King 79 191 0 26 Feb 2021
SPAGAN: Shortest Path Graph Attention Network Yiding Yang Xinchao Wang Mingli Song Junsong Yuan Dacheng Tao GNN 136 96 0 10 Jan 2021
Adaptive Graph Diffusion Networks Chuxiong Sun Jie Hu Hongming Gu Jinpeng Chen Mingchuan Yang GNN DiffM AI4CE 15 12 0 30 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 25 115 0 16 Dec 2020