DeepGCNs: Can GCNs Go as Deep as CNNs?

7 April 2019

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

50 / 238 papers shown

Title
Knowledge Distillation on Graphs: A Survey Yijun Tian Shichao Pei Xiangliang Zhang Chuxu Zhang Nitesh V. Chawla 21 28 0 01 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 23 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 48 5 0 24 Jan 2023
Adaptive Depth Graph Attention Networks Jingbo Zhou Yixuan Du Ruqiong Zhang Rui Zhang GNN 36 1 0 16 Jan 2023
Dynamic Local Feature Aggregation for Learning on Point Clouds Zihao Li Pan Gao Hui Yuan Ran Wei 3DPC 47 3 0 07 Jan 2023
Graph Convolution Based Cross-Network Multi-Scale Feature Fusion for Deep Vessel Segmentation Gangming Zhao Kongming Liang Changzai Pan Fandong Zhang Xianpeng Wu Xinyang Hu Yizhou Yu MedIm 39 27 0 06 Jan 2023
Data Augmentation on Graphs: A Technical Survey Jiajun Zhou Chenxuan Xie Shengbo Gong Z. Wen Xiangyu Zhao Qi Xuan Xiaoniu Yang AI4TS 24 8 0 20 Dec 2022
TIDE: Time Derivative Diffusion for Deep Learning on Graphs M. Behmanesh Maximilian Krahn M. Ovsjanikov DiffM GNN 24 9 0 05 Dec 2022
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 Decebal Constantin Mocanu Zhangyang Wang Mykola Pechenizkiy Shiwei Liu GNN 47 14 0 28 Nov 2022
Meta Architecture for Point Cloud Analysis Haojia Lin Xiawu Zheng Lijiang Li Rongrong Ji Sha Wang Yan Wang Yonghong Tian Rongrong Ji 3DPC 33 45 0 26 Nov 2022
From Node Interaction to Hop Interaction: New Effective and Scalable Graph Learning Paradigm Jie Chen Zilong Li Ying Zhu Junping Zhang Jian Pu 36 8 0 21 Nov 2022
Intelligent Computing: The Latest Advances, Challenges and Future Shiqiang Zhu Ting Yu Tao Xu Hongyang Chen Schahram Dustdar ... Tariq S. Durrani Huaimin Wang Jiangxing Wu Tongyi Zhang Yunhe Pan AI4CE 32 117 0 21 Nov 2022
Heterogenous Ensemble of Models for Molecular Property Prediction Sajad Darabi Shayan Fazeli Jiwei Liu Alexandre Milesi Pawel Morkisz Jean-François Puget Gilberto Titericz 16 0 0 20 Nov 2022
Comprehensive Analysis of Over-smoothing in Graph Neural Networks from Markov Chains Perspective Weichen Zhao Chenguang Wang Congying Han Tiande Guo 33 1 0 12 Nov 2022
Application of Graph Neural Networks and graph descriptors for graph classification J. Adamczyk FaML 39 5 0 07 Nov 2022
SL3D: Self-supervised-Self-labeled 3D Recognition Fernando Julio Cendra Lan Ma Jiajun Shen Xiaojuan Qi 3DPC 40 3 0 30 Oct 2022
Clenshaw Graph Neural Networks Y. Guo Zhewei Wei GNN 61 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 36 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 35 55 0 23 Oct 2022
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking Keyu Duan Zirui Liu Peihao Wang Wenqing Zheng Kaixiong Zhou Tianlong Chen Xia Hu Zhangyang Wang GNN 41 57 0 14 Oct 2022
LACV-Net: Semantic Segmentation of Large-Scale Point Cloud Scene via Local Adaptive and Comprehensive VLAD Ziyin Zeng Yongyang Xu Zhong Xie Wei Tang Jie Wan Weichao Wu 3DPC 35 19 0 12 Oct 2022
Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation Jhony H. Giraldo V. M. Scarrica A. Staiano F. Camastra T. Bouwmans GNN 23 17 0 11 Oct 2022
Generalized energy and gradient flow via graph framelets Andi Han Dai Shi Zhiqi Shao Junbin Gao 78 13 0 08 Oct 2022
Towards Prototype-Based Self-Explainable Graph Neural Network Enyan Dai Suhang Wang 33 12 0 05 Oct 2022
TPGNN: Learning High-order Information in Dynamic Graphs via Temporal Propagation Zehong Wang Qi Li Donghua Yu 27 3 0 03 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 2 0 30 Sep 2022
From Local to Global: Spectral-Inspired Graph Neural Networks Ningyuan Huang Soledad Villar Carey E. Priebe Da Zheng Cheng-Fu Huang Lin F. Yang Vladimir Braverman 25 14 0 24 Sep 2022
Dynamic Graph Message Passing Networks for Visual Recognition Li Zhang Mohan Chen Anurag Arnab Xiangyang Xue Philip Torr GNN 31 1 0 20 Sep 2022
Learning task-specific features for 3D pointcloud graph creation Elias Abad Rocamora Javier Ruiz-Hidalgo 3DPC 20 0 0 02 Sep 2022
NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs Yijun Tian Chuxu Zhang Zhichun Guo Xiangliang Zhang Nitesh V. Chawla 47 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 34 31 0 19 Aug 2022
PointConvFormer: Revenge of the Point-based Convolution Wenxuan Wu Li Fuxin Qi Shan 3DPC 25 30 0 04 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 26 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 32 23 0 19 Jul 2022
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks Chuang Liu Xueqi Ma Yinbing Zhan Liang Ding Dapeng Tao Bo Du Wenbin Hu Danilo Mandic 42 28 0 18 Jul 2022
Enhancing Local Geometry Learning for 3D Point Cloud via Decoupling Convolution H. Xiu Xin Liu Weimin Wang Kyoung-Sook Kim T. Shinohara Qiong Chang M. Matsuoka 3DPC 27 0 0 04 Jul 2022
Agent-based Graph Neural Networks Karolis Martinkus Pál András Papp Benedikt Schesch Roger Wattenhofer LLMAG GNN 39 17 0 22 Jun 2022
NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search Yi Qin Ziwei Zhang Xin Wang Zeyang Zhang Wenwu Zhu 29 26 0 18 Jun 2022
Condensing Graphs via One-Step Gradient Matching Wei Jin Xianfeng Tang Haoming Jiang Zheng Li Danqing Zhang Jiliang Tang Bin Ying DD 31 98 0 15 Jun 2022
Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective Wei Jin Xiaorui Liu Yao Ma Charu C. Aggarwal Jiliang Tang 32 42 0 15 Jun 2022
Region-enhanced Deep Graph Convolutional Networks for Rumor Detection Ge Wang Li Tan Tianbao Song Wen Wang Ziliang Shang GNN 45 1 0 15 Jun 2022
Model Degradation Hinders Deep Graph Neural Networks Wentao Zhang Zeang Sheng Ziqi Yin Yuezihan Jiang Yikuan Xia Jun Gao Zhi-Xin Yang Bin Cui GNN AI4CE 28 40 0 09 Jun 2022
Graph Attention Multi-Layer Perceptron Wentao Zhang Ziqi Yin Zeang Sheng Yang Li Wenbin Ouyang Xiaosen Li Yangyu Tao Zhi-Xin Yang Bin Cui GNN AI4CE 44 99 0 09 Jun 2022
Vision GNN: An Image is Worth Graph of Nodes Kai Han Yunhe Wang Jianyuan Guo Yehui Tang Enhua Wu GNN 3DH 19 352 0 01 Jun 2022
Not too little, not too much: a theoretical analysis of graph (over)smoothing Nicolas Keriven 47 89 0 24 May 2022
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection Bingzhe Wu Jintang Li Junchi Yu Yatao Bian Hengtong Zhang ... Guangyu Sun Peng Cui Zibin Zheng Zhe Liu P. Zhao OOD 45 25 0 20 May 2022
Label-invariant Augmentation for Semi-Supervised Graph Classification Han Yue Chunhui Zhang Chuxu Zhang Hongfu Liu 37 31 0 19 May 2022
Unified GCNs: Towards Connecting GCNs with CNNs Ziyan Zhang Bo Jiang Bin Luo GNN 31 1 0 26 Apr 2022
PVNAS: 3D Neural Architecture Search with Point-Voxel Convolution Zhijian Liu Haotian Tang Shengyu Zhao Kevin Shao Song Han 3DPC 21 40 0 25 Apr 2022
Learning 3D Semantics from Pose-Noisy 2D Images with Hierarchical Full Attention Network Yuhang He Lin Chen Jun-Zhou Xie Long Chen 3DPC 22 3 0 17 Apr 2022