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Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs

10 April 2017

M. Simonovsky

N. Komodakis

GNN

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Papers citing "Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs"

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Title
Sim2real Transfer Learning for Point Cloud Segmentation: An Industrial Application Case on Autonomous Disassembly Chengzhi Wu Xuelei Bi Julius Pfrommer Alexander Cebulla Simon Mangold Jürgen Beyerer 3DPC 92 23 0 12 Jan 2023
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Push-the-Boundary: Boundary-aware Feature Propagation for Semantic Segmentation of 3D Point Clouds Shenglan Du Nail Ibrahimli J. Stoter Julian F. P. Kooij Liangliang Nan 3DPC 71 4 0 23 Dec 2022
Population Template-Based Brain Graph Augmentation for Improving One-Shot Learning Classification Oben Özgür Arwa Rekik I. Rekik MedIm 73 0 0 14 Dec 2022
QESK: Quantum-based Entropic Subtree Kernels for Graph Classification Lu Bai Lixin Cui Edwin R. Hancock 74 0 0 10 Dec 2022
Every Node Counts: Improving the Training of Graph Neural Networks on Node Classification Moshe Eliasof E. Haber Eran Treister GNN 112 0 0 29 Nov 2022
PointResNet: Residual Network for 3D Point Cloud Segmentation and Classification Aadesh Desai Saagar Parikh S. Kumari Shanmuganathan Raman 3DPC 3DV 130 2 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 94 1 0 12 Nov 2022
Causal Modeling of Soil Processes for Improved Generalization Somya Sharma Swati Sharma A. Neal Sara Malvar Eduardo Rodrigues J. Crawford Emre Kıcıman Ranveer Chandra 69 1 0 10 Nov 2022
QuadConv: Quadrature-Based Convolutions with Applications to Non-Uniform PDE Data Compression Kevin Doherty Cooper Simpson Stephen Becker Alireza Doostan 83 7 0 09 Nov 2022
Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node Representations Giannis Nikolentzos Michail Chatzianastasis Michalis Vazirgiannis 60 8 0 04 Nov 2022
Fraudulent User Detection Via Behavior Information Aggregation Network (BIAN) On Large-Scale Financial Social Network Hanyi Hu Long Zhang Shuang Li Zhi Liu Yao Yang Chongning Na 91 0 0 04 Nov 2022
Self-Supervised Learning with Multi-View Rendering for 3D Point Cloud Analysis Bach Tran Binh-Son Hua Anh Tran Minh Hoai 3DPC 135 7 0 28 Oct 2022
Isometric 3D Adversarial Examples in the Physical World Yibo Miao Yinpeng Dong Junyi Zhu Xiao-Shan Gao 104 32 0 27 Oct 2022
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Approximating Continuous Convolutions for Deep Network Compression Theo W. Costain V. Prisacariu 75 0 0 17 Oct 2022
Learning Inter-Superpoint Affinity for Weakly Supervised 3D Instance Segmentation Ling-Yu Tang Le Hui Jin Xie 3DPC 90 15 0 11 Oct 2022
On the Effectiveness of Hybrid Pooling in Mixup-Based Graph Learning for Language Processing Zeming Dong Qiang Hu Zhenya Zhang Yuejun Guo Maxime Cordy Mike Papadakis Yves Le Traon Jianjun Zhao 107 3 0 06 Oct 2022
Graph Classification via Discriminative Edge Feature Learning Yang Yi Xuequan Lu Shang Gao A. Robles-Kelly Yuejie Zhang GNN 84 7 0 05 Oct 2022
Towards Multi-spatiotemporal-scale Generalized PDE Modeling Jayesh K. Gupta Johannes Brandstetter AI4CE 146 136 0 30 Sep 2022
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective Chaoqi Chen Yushuang Wu Qiyuan Dai Hong-Yu Zhou Mutian Xu Sibei Yang Xiaoguang Han Yizhou Yu ViT MedIm AI4CE 139 82 0 27 Sep 2022
Shrinking unit: a Graph Convolution-Based Unit for CNN-like 3D Point Cloud Feature Extractors Alberto Tamajo B. Plass T. Klauer 3DPC 57 2 0 26 Sep 2022
Scalable SoftGroup for 3D Instance Segmentation on Point Clouds Thang Vu Kookhoi Kim Tung M. Luu Xuan Thanh Nguyen Junyeong Kim Chang D. Yoo 3DPC 117 26 0 17 Sep 2022
Predicting Brain Multigraph Population From a Single Graph Template for Boosting One-Shot Classification Furkan Pala I. Rekik 110 2 0 13 Sep 2022
Learning to Generate Realistic LiDAR Point Clouds Vlas Zyrianov Xiyue Zhu Shenlong Wang 3DPC DiffM 192 62 0 08 Sep 2022
Higher-order Clustering and Pooling for Graph Neural Networks Alexandre Duval Fragkiskos D. Malliaros 98 41 0 02 Sep 2022
Imperceptible and Robust Backdoor Attack in 3D Point Cloud Kuofeng Gao Jiawang Bai Baoyuan Wu Mengxi Ya Shutao Xia AAML 3DPC 100 33 0 17 Aug 2022
PointConvFormer: Revenge of the Point-based Convolution Wenxuan Wu Li Fuxin Qi Shan 3DPC 86 32 0 04 Aug 2022
Point Cloud Attacks in Graph Spectral Domain: When 3D Geometry Meets Graph Signal Processing Daizong Liu Wei Hu Xin Li AAML 3DPC 104 16 0 27 Jul 2022
Graph neural networks for the prediction of molecular structure-property relationships Jan G. Rittig Qing-Bin Gao Manuel Dahmen Alexander Mitsos Artur M. Schweidtmann AI4CE 75 11 0 25 Jul 2022
RSG-Net: Towards Rich Sematic Relationship Prediction for Intelligent Vehicle in Complex Environments Yafu Tian Alexander Carballo Ruifeng Li K. Takeda GNN 67 6 0 16 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 68 0 0 04 Jul 2022
Enhancing Local Feature Learning Using Diffusion for 3D Point Cloud Understanding H. Xiu Xin Liu Weimin Wang Kyoung-Sook Kim T. Shinohara Qiong Chang M. Matsuoka DiffM 3DPC 58 0 0 04 Jul 2022
Ordered Subgraph Aggregation Networks Chao Qian Gaurav Rattan Floris Geerts Christopher Morris Mathias Niepert 129 58 0 22 Jun 2022
Universally Expressive Communication in Multi-Agent Reinforcement Learning Matthew Morris Thomas D. Barrett Arnu Pretorius 92 4 0 14 Jun 2022
Soft-mask: Adaptive Substructure Extractions for Graph Neural Networks Mingqi Yang Yanming Shen Heng Qi Baocai Yin 46 17 0 11 Jun 2022
AGConv: Adaptive Graph Convolution on 3D Point Clouds Mingqiang Wei Zeyong Wei Hao Zhou Fei-Jiang Hu Huajian Si ... Jingbo Qiu Xu Yan Yan Guo Jun Wang J. Qin 3DPC 112 40 0 09 Jun 2022
Spatial Parsing and Dynamic Temporal Pooling networks for Human-Object Interaction detection Hongsheng Li Guangming Zhu Wu Zhen Lan Ni Peiyi Shen Liang Zhang Ning Wang Cong Hua 70 3 0 07 Jun 2022
An Unpooling Layer for Graph Generation Yi Guo Dongmian Zou Gilad Lerman 65 2 0 04 Jun 2022
Shortest Path Networks for Graph Property Prediction Ralph Abboud Radoslav Dimitrov .Ismail .Ilkan Ceylan GNN 128 49 0 02 Jun 2022
Graph-level Neural Networks: Current Progress and Future Directions Ge Zhang Hongzhi Zhang Jian Yang Shan Xue Wenbin Hu Chuan Zhou Hao Peng Quan.Z Sheng Charu C. Aggarwal GNN AI4CE 107 0 0 31 May 2022
The Devil is in the Pose: Ambiguity-free 3D Rotation-invariant Learning via Pose-aware Convolution Ronghan Chen Yang Cong 3DH 62 19 0 30 May 2022
PSNet: Fast Data Structuring for Hierarchical Deep Learning on Point Cloud Luyang Li Ligang He Jinjin Gao Xie Han 3DPC 62 20 0 30 May 2022
MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers Elias Boutros Khalil Christopher Morris Andrea Lodi AI4CE 88 57 0 27 May 2022
APP-Net: Auxiliary-point-based Push and Pull Operations for Efficient Point Cloud Classification Tao Lu Chunxu Liu You-ren Chen Gangshan Wu Limin Wang 3DPC 81 6 0 02 May 2022
STONet: A Neural-Operator-Driven Spatio-temporal Network Haitao Lin Guojiang Zhao Lirong Wu Stan Z. Li AI4TS AI4CE 81 1 0 18 Apr 2022
Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities Chuang Liu Yibing Zhan Hongzhi Zhang Chang Li Bo Du Wenbin Hu Tongliang Liu Dacheng Tao GNN AI4CE 112 83 0 15 Apr 2022
DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation Runyu Ding Jihan Yang Li Jiang Xiaojuan Qi 3DPC 115 18 0 04 Apr 2022
Learning to solve Minimum Cost Multicuts efficiently using Edge-Weighted Graph Convolutional Neural Networks Steffen Jung Margret Keuper GNN 60 4 0 04 Apr 2022
Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications Kamilia Mullakaeva Luca Cosmo Anees Kazi Seyed-Ahmad Ahmadi Nassir Navab Michael M. Bronstein 83 8 0 01 Apr 2022