DeepGCNs: Can GCNs Go as Deep as CNNs?

7 April 2019

Papers citing "DeepGCNs: Can GCNs Go as Deep as CNNs?"

50 / 236 papers shown

Title
Vision Graph Prompting via Semantic Low-Rank Decomposition Zixiang Ai Zichen Liu Jiahuan Zhou 53 0 0 07 May 2025
Effective High-order Graph Representation Learning for Credit Card Fraud Detection Yao Zou Dawei Cheng 52 1 0 03 Mar 2025
Circuit Representation Learning with Masked Gate Modeling and Verilog-AIG Alignment Haoyuan Wu Haisheng Zheng Yuan Pu Bei Yu 61 1 0 18 Feb 2025
Effects of Random Edge-Dropping on Over-Squashing in Graph Neural Networks Jasraj Singh Keyue Jiang Brooks Paige Laura Toni 70 1 0 11 Feb 2025
Resolving Oversmoothing with Opinion Dissensus Keqin Wang Yulong Yang Ishan Saha Christine Allen-Blanchette 62 1 0 31 Jan 2025
Enhancing Graph Self-Supervised Learning with Graph Interplay Xinjian Zhao Wei Pang Xiangru Jian Yaoyao Xu Chaolong Ying Tianshu Yu 56 0 0 17 Jan 2025
GraCo -- A Graph Composer for Integrated Circuits Stefan Uhlich Andrea Bonetti Arun Venkitaraman Ali Momeni Ryoga Matsuo Chia-Yu Hsieh Eisaku Ohbuchi Lorenzo Servadei GNN 95 0 0 21 Nov 2024
HRGR: Enhancing Image Manipulation Detection via Hierarchical Region-aware Graph Reasoning Xudong Wang Yuan Li Huiyu Zhou Jiaran Zhou Junyu Dong 44 1 0 29 Oct 2024
GraFPrint: A GNN-Based Approach for Audio Identification Aditya Bhattacharjee Shubhr Singh Emmanouil Benetos 26 0 0 14 Oct 2024
Rethinking Attention Module Design for Point Cloud Analysis Chengzhi Wu Kaige Wang Zeyun Zhong Hao Fu Junwei Zheng Jiaming Zhang Julius Pfrommer Jürgen Beyerer 3DPC 51 1 0 27 Jul 2024
Scalable Graph Compressed Convolutions Junshu Sun Chen Yang Shuhui Wang Qingming Huang GNN 48 0 0 26 Jul 2024
Highway Value Iteration Networks Yuhui Wang Weida Li Francesco Faccio Qingyuan Wu Jürgen Schmidhuber 40 2 0 05 Jun 2024
Talk2Radar: Bridging Natural Language with 4D mmWave Radar for 3D Referring Expression Comprehension Runwei Guan Ruixiao Zhang Ningwei Ouyang Jianan Liu Ka Lok Man ... Ming Xu Jeremy S. Smith Eng Gee Lim Yutao Yue Hui Xiong 53 9 0 21 May 2024
Gegenbauer Graph Neural Networks for Time-varying Signal Reconstruction Jhon A. Castro-Correa Jhony H. Giraldo Mohsen Badiey Fragkiskos D. Malliaros 36 7 0 28 Mar 2024
MamMIL: Multiple Instance Learning for Whole Slide Images with State Space Models Zijie Fang Yifeng Wang Zhi Wang Jian Zhang Xiangyang Ji Yongbing Zhang Mamba 42 6 0 08 Mar 2024
Simplified PCNet with Robustness Bingheng Li Xuanting Xie Haoxiang Lei Ruiyi Fang Zhao Kang 40 5 0 06 Mar 2024
Representation Learning for Frequent Subgraph Mining Rex Ying Tianyu Fu Andrew Wang Jiaxuan You Yu Wang J. Leskovec GNN 24 1 0 22 Feb 2024
Exploiting Hierarchical Interactions for Protein Surface Learning Yiqun Lin Liang Pan Yi Li Ziwei Liu Xiaomeng Li 40 1 0 17 Jan 2024
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching Federico Errica Henrik Christiansen Viktor Zaverkin Takashi Maruyama Mathias Niepert Francesco Alesiani 60 7 0 27 Dec 2023
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 29 0 0 13 Dec 2023
Tracing Hyperparameter Dependencies for Model Parsing via Learnable Graph Pooling Network Xiao Guo Vishal Asnani Sijia Liu Xiaoming Liu 27 5 0 03 Dec 2023
Sketch Input Method Editor: A Comprehensive Dataset and Methodology for Systematic Input Recognition Guangming Zhu Siyuan Wang Qing Cheng Kelong Wu Hao Li Liang Zhang 34 2 0 30 Nov 2023
Mobility-Induced Graph Learning for WiFi Positioning Kyuwon Han Seung Min Yu Seong-Lyun Kim Seung-Woo Ko 17 2 0 14 Nov 2023
Dirichlet Energy Enhancement of Graph Neural Networks by Framelet Augmentation Jialin Chen Yuelin Wang Cristian Bodnar Rex Ying Pietro Lió Yu Guang Wang 32 10 0 09 Nov 2023
Nonlinear Correct and Smooth for Semi-Supervised Learning Yuanhang Shao Xiuwen Liu 26 1 0 09 Oct 2023
Learning How to Propagate Messages in Graph Neural Networks Teng Xiao Zhengyu Chen Donglin Wang Suhang Wang GNN 34 76 0 01 Oct 2023
Decoupled Local Aggregation for Point Cloud Learning Binjie Chen Yunzhou Xia Yu Zang Cheng-Yu Wang Jonathan Li 3DPC 34 9 0 31 Aug 2023
GKGNet: Group K-Nearest Neighbor based Graph Convolutional Network for Multi-Label Image Recognition Ruijie Yao Sheng Jin Lumin Xu Wang Zeng Wentao Liu Chao Qian Ping Luo Ji Wu 28 2 0 28 Aug 2023
The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive field Kun Wang Guohao Li Shilong Wang Guibin Zhang Kaidi Wang Yang You Xiaojiang Peng Keli Zhang Yang Wang 37 8 0 19 Aug 2023
PVG: Progressive Vision Graph for Vision Recognition Jiafu Wu Jian Li Jiangning Zhang Boshen Zhang M. Chi Yabiao Wang Chengjie Wang ViT 28 13 0 01 Aug 2023
Revolutionizing TCAD Simulations with Universal Device Encoding and Graph Attention Networks Guangxi Fan Leilai Shao Kain Lu Low 21 2 0 01 Aug 2023
In Defense of Clip-based Video Relation Detection Meng Wei Long Chen Wei Ji Xiaoyu Yue Roger Zimmermann 44 5 0 18 Jul 2023
MobileViG: Graph-Based Sparse Attention for Mobile Vision Applications Mustafa Munir William Avery R. Marculescu ViT GNN 34 33 0 01 Jul 2023
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals Tingting Dan Jiaqi Ding Ziquan Wei S. Kovalsky Minjeong Kim Won Hwa Kim Guorong Wu DiffM 24 6 0 01 Jul 2023
Hybrid Graph: A Unified Graph Representation with Datasets and Benchmarks for Complex Graphs Zehui Li Xiangyu Zhao Mingzhu Shen Guy-Bart Stan Pietro Lio Yiren Zhao 20 1 0 08 Jun 2023
NexToU: Efficient Topology-Aware U-Net for Medical Image Segmentation P. Shi Xutao Guo Yanwu Yang Chenfei Ye H. T. Ma 30 5 0 25 May 2023
A Fractional Graph Laplacian Approach to Oversmoothing Sohir Maskey Raffaele Paolino Aras Bacho Gitta Kutyniok 34 30 0 22 May 2023
Cloud-RAIN: Point Cloud Analysis with Reflectional Invariance Yiming Cui Lecheng Ruan Hang Dong Qiang Li Zhongming Wu T. Zeng Fengyu Fan 3DPC 35 0 0 13 May 2023
AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing Zhaoliang Chen Zhihao Wu Zhe-Hui Lin Shiping Wang Claudia Plant Wenzhong Guo 29 18 0 14 Apr 2023
Distributional Signals for Node Classification in Graph Neural Networks Feng Ji See Hian Lee Kai Zhao Wee Peng Tay Jielong Yang 16 2 0 07 Apr 2023
Small but Mighty: Enhancing 3D Point Clouds Semantic Segmentation with U-Next Framework Ziyin Zeng Qingyong Hu Zhong Xie Jian Zhou Yongyang Xu 3DPC 32 9 0 03 Apr 2023
Object-Centric Relational Representations for Image Generation L. Butera Andrea Cini Alberto Ferrante Cesare Alippi OCL DiffM 34 0 0 26 Mar 2023
A Comparison of Graph Neural Networks for Malware Classification Vrinda Malhotra Katerina Potika Mark Stamp 30 3 0 22 Mar 2023
A Survey on Oversmoothing in Graph Neural Networks T. Konstantin Rusch Michael M. Bronstein Siddhartha Mishra 41 186 0 20 Mar 2023
GTRL: An Entity Group-Aware Temporal Knowledge Graph Representation Learning Method Xing Tang Ling-Hao Chen AI4TS 22 5 0 22 Feb 2023
Higher-order Sparse Convolutions in Graph Neural Networks Jhony H. Giraldo S. Javed Arif Mahmood Fragkiskos D. Malliaros T. Bouwmans GNN 36 1 0 21 Feb 2023
Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification Lanning Wei Zhiqiang He Huan Zhao Quanming Yao 33 16 0 17 Feb 2023
Deep Learning on Implicit Neural Representations of Shapes Luca de Luigi Adriano Cardace Riccardo Spezialetti Pierluigi Zama Ramirez Samuele Salti Luigi Di Stefano 29 46 0 10 Feb 2023
Bi-level Multi-objective Evolutionary Learning: A Case Study on Multi-task Graph Neural Topology Search Chao Wang Licheng Jiao Jiaxuan Zhao Lingling Li Xu Liu F. Liu Shuyuan Yang 32 5 0 06 Feb 2023
Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing Yunchong Song Cheng Zhou Xinbing Wang Zhouhan Lin 32 64 0 03 Feb 2023