DeepGCNs: Can GCNs Go as Deep as CNNs?

7 April 2019

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

50 / 92 papers shown

Title
Vision Graph Prompting via Semantic Low-Rank Decomposition Zixiang Ai Zichen Liu Jiahuan Zhou 45 0 0 07 May 2025
Understanding Oversmoothing in GNNs as Consensus in Opinion Dynamics Keqin Wang Yulong Yang Ishan Saha Christine Allen-Blanchette 49 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 45 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 83 0 0 21 Nov 2024
HRGR: Enhancing Image Manipulation Detection via Hierarchical Region-aware Graph Reasoning Xudong Wang Y. Li Huiyu Zhou Jiaran Zhou Junyu Dong 29 1 0 29 Oct 2024
GraFPrint: A GNN-Based Approach for Audio Identification Aditya Bhattacharjee Shubhr Singh Emmanouil Benetos 16 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 37 1 0 27 Jul 2024
Scalable Graph Compressed Convolutions Junshu Sun Chen Yang Shuhui Wang Qingming Huang GNN 31 0 0 26 Jul 2024
Highway Value Iteration Networks Yuhui Wang Weida Li Francesco Faccio Qingyuan Wu Jürgen Schmidhuber 26 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 46 8 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 20 5 0 28 Mar 2024
Simplified PCNet with Robustness Bingheng Li Xuanting Xie Haoxiang Lei Ruiyi Fang Zhao Kang 17 4 0 06 Mar 2024
Exploiting Hierarchical Interactions for Protein Surface Learning Yiqun Lin Liang Pan Yi Li Ziwei Liu Xiaomeng Li 26 1 0 17 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
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 13 2 0 30 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 19 10 0 09 Nov 2023
Learning How to Propagate Messages in Graph Neural Networks Teng Xiao Zhengyu Chen Donglin Wang Suhang Wang GNN 17 76 0 01 Oct 2023
Decoupled Local Aggregation for Point Cloud Learning Binjie Chen Yunzhou Xia Yu Zang Cheng-Yu Wang Jonathan Li 3DPC 13 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 16 2 0 28 Aug 2023
Revolutionizing TCAD Simulations with Universal Device Encoding and Graph Attention Networks Guangxi Fan Leilai Shao Kain Lu Low 13 2 0 01 Aug 2023
In Defense of Clip-based Video Relation Detection Meng Wei Long Chen Wei Ji Xiaoyu Yue Roger Zimmermann 29 4 0 18 Jul 2023
MobileViG: Graph-Based Sparse Attention for Mobile Vision Applications Mustafa Munir William Avery R. Marculescu ViT GNN 29 32 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 11 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 12 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 14 5 0 25 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 17 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 24 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 8 2 0 07 Apr 2023
Object-Centric Relational Representations for Image Generation L. Butera Andrea Cini Alberto Ferrante C. Alippi OCL DiffM 16 0 0 26 Mar 2023
A Comparison of Graph Neural Networks for Malware Classification Vrinda Malhotra Katerina Potika Mark Stamp 17 3 0 22 Mar 2023
Higher-order Sparse Convolutions in Graph Neural Networks Jhony H. Giraldo S. Javed Arif Mahmood Fragkiskos D. Malliaros T. Bouwmans GNN 8 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 16 16 0 17 Feb 2023
Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing Yunchong Song Cheng Zhou Xinbing Wang Zhouhan Lin 13 61 0 03 Feb 2023
Understanding and Improving Deep Graph Neural Networks: A Probabilistic Graphical Model Perspective Jiayuan Chen Xiang Zhang Yinfei Xu Tianli Zhao Renjie Xie Wei Xu GNN BDL 18 0 0 25 Jan 2023
Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators Min-hee Yoo Jaeyong Song Hyeyoon Lee Jounghoo Lee Namhyung Kim Youngsok Kim Jinho Lee GNN 21 5 0 24 Jan 2023
Adaptive Depth Graph Attention Networks Jingbo Zhou Yixuan Du Ruqiong Zhang Rui Zhang GNN 29 1 0 16 Jan 2023
You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets Tianjin Huang Tianlong Chen Meng Fang Vlado Menkovski Jiaxu Zhao ... Yulong Pei D. Mocanu Zhangyang Wang Mykola Pechenizkiy Shiwei Liu GNN 28 14 0 28 Nov 2022
Meta Architecture for Point Cloud Analysis Haojia Lin Xiawu Zheng Lijiang Li Fei Chao Sha Wang Yan Wang Yonghong Tian Rongrong Ji 3DPC 19 44 0 26 Nov 2022
SL3D: Self-supervised-Self-labeled 3D Recognition Fernando Julio Cendra Lan Ma Jiajun Shen Xiaojuan Qi 3DPC 28 3 0 30 Oct 2022
Clenshaw Graph Neural Networks Y. Guo Zhewei Wei GNN 45 10 0 29 Oct 2022
TuneUp: A Simple Improved Training Strategy for Graph Neural Networks Weihua Hu Kaidi Cao Kexin Huang E-Wen Huang Karthik Subbian Kenji Kawaguchi J. Leskovec 22 0 0 26 Oct 2022
LCPFormer: Towards Effective 3D Point Cloud Analysis via Local Context Propagation in Transformers Zhuo Huang Zhiyou Zhao Banghuai Li Jungong Han 3DPC ViT 15 55 0 23 Oct 2022
Towards Prototype-Based Self-Explainable Graph Neural Network Enyan Dai Suhang Wang 22 12 0 05 Oct 2022
TPGNN: Learning High-order Information in Dynamic Graphs via Temporal Propagation Zehong Wang Qi Li Donghua Yu 14 2 0 03 Oct 2022
Dynamic Graph Message Passing Networks for Visual Recognition Li Zhang Mohan Chen Anurag Arnab Xiangyang Xue Philip H. S. Torr GNN 10 1 0 20 Sep 2022
NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs Yijun Tian Chuxu Zhang Zhichun Guo Xiangliang Zhang Nitesh V. Chawla 26 14 0 22 Aug 2022
Diagnose Like a Radiologist: Hybrid Neuro-Probabilistic Reasoning for Attribute-Based Medical Image Diagnosis Gangming Zhao Quanlong Feng Chaoqi Chen Zhen Zhou Yizhou Yu 24 30 0 19 Aug 2022
XG-BoT: An Explainable Deep Graph Neural Network for Botnet Detection and Forensics Wai Weng Lo Gayan K. Kulatilleke Mohanad Sarhan S. Layeghy Marius Portmann 13 41 0 19 Jul 2022
Dual Adaptive Transformations for Weakly Supervised Point Cloud Segmentation Zhonghua Wu Yicheng Wu Guosheng Lin Jianfei Cai Chen Qian 3DPC 20 23 0 19 Jul 2022
Condensing Graphs via One-Step Gradient Matching Wei Jin Xianfeng Tang Haoming Jiang Zheng Li Danqing Zhang Jiliang Tang Bin Ying DD 21 98 0 15 Jun 2022