Geometric deep learning on graphs and manifolds using mixture model CNNs

25 November 2016

Papers citing "Geometric deep learning on graphs and manifolds using mixture model CNNs"

50 / 284 papers shown

Title
Learning Canonical Embeddings for Unsupervised Shape Correspondence with Locally Linear Transformations Pan He Patrick Emami Sanjay Ranka Anand Rangarajan 3DPC 18 1 0 05 Sep 2022
Deep Structural Causal Shape Models Rajat Rasal Daniel Coelho De Castro Nick Pawlowski Ben Glocker 3DV MedIm 28 12 0 23 Aug 2022
Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action Recognition Junghoon Lee Minhyeok Lee Dogyoon Lee Sangyoon Lee BDL 21 130 0 23 Aug 2022
Graph neural networks for materials science and chemistry Patrick Reiser Marlen Neubert André Eberhard Luca Torresi Chen Zhou ... Houssam Metni Clint van Hoesel Henrik Schopmans T. Sommer Pascal Friederich GNN AI4CE 39 370 0 05 Aug 2022
Neural network layers as parametric spans M. Bergomi Pietro Vertechi AI4CE 25 2 0 01 Aug 2022
ScoreCAM GNN: une explication optimale des réseaux profonds sur graphes Adrien Raison Pascal Bourdon David Helbert FAtt GNN 19 0 0 26 Jul 2022
GOOD: A Graph Out-of-Distribution Benchmark Shurui Gui Xiner Li Limei Wang Shuiwang Ji OOD 22 115 0 16 Jun 2022
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning Sihang Li Xiang Wang An Zhang Y. Wu Xiangnan He Tat-Seng Chua 19 93 0 16 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 21 38 0 09 Jun 2022
Strategic Classification with Graph Neural Networks Itay Eilat Ben Finkelshtein Chaim Baskin Nir Rosenfeld 27 11 0 31 May 2022
Capturing Graphs with Hypo-Elliptic Diffusions Csaba Tóth Darrick Lee Celia Hacker Harald Oberhauser 18 12 0 27 May 2022
Loop Closure Prioritization for Efficient and Scalable Multi-Robot SLAM Chris Denniston Yun Chang Andrzej Reinke K. Ebadi Gaurav Sukhatme Luca Carlone B. Morrell Ali-akbar Agha-mohammadi 39 25 0 24 May 2022
High-Order Pooling for Graph Neural Networks with Tensor Decomposition Chenqing Hua Guillaume Rabusseau Jian Tang 70 25 0 24 May 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis Maciej Besta Torsten Hoefler GNN 32 56 0 19 May 2022
Scalable algorithms for physics-informed neural and graph networks K. Shukla Mengjia Xu N. Trask George Karniadakis PINN AI4CE 65 40 0 16 May 2022
Collaborative Learning for Hand and Object Reconstruction with Attention-guided Graph Convolution Tze Ho Elden Tse K. Kim A. Leonardis H. Chang 3DH 19 57 0 27 Apr 2022
Unified GCNs: Towards Connecting GCNs with CNNs Ziyan Zhang Bo Jiang Bin Luo GNN 23 1 0 26 Apr 2022
Label Efficient Regularization and Propagation for Graph Node Classification Tian Xie R. Kannan C.-C. Jay Kuo 22 2 0 19 Apr 2022
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning Chuizheng Meng Sungyong Seo Defu Cao Sam Griesemer Yan Liu PINN AI4CE 34 55 0 31 Mar 2022
Surface Vision Transformers: Attention-Based Modelling applied to Cortical Analysis Simon Dahan Abdulah Fawaz Logan Z. J. Williams Chunhui Yang Timothy S. Coalson M. Glasser A. Edwards Daniel Rueckert E. C. Robinson MedIm ViT 35 20 0 30 Mar 2022
Graph Neural Networks in IoT: A Survey Guimin Dong Mingyue Tang Zhiyuan Wang Jiechao Gao Sikun Guo Lihua Cai Robert Gutierrez Brad Campbell Laura E. Barnes M. Boukhechba GNN AI4CE 34 96 0 29 Mar 2022
OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks Wanyu Lin Hao Lan Hao Wang Baochun Li BDL CML 28 50 0 29 Mar 2022
SpeqNets: Sparsity-aware Permutation-equivariant Graph Networks Christopher Morris Gaurav Rattan Sandra Kiefer Siamak Ravanbakhsh 42 39 0 25 Mar 2022
ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation Bokui Shen Zhenyu Jiang Chris Choy Leonidas J. Guibas Silvio Savarese Anima Anandkumar Yuke Zhu AI4CE 14 41 0 14 Mar 2022
3D Dense Face Alignment with Fused Features by Aggregating CNNs and GCNs Y. Meng Xu Chen Dongxu Gao Yitian Zhao Xiaoyun Yang Yihong Qiao Xiaowei Huang Yalin Zheng 3DH 3DPC CVBM 23 3 0 09 Mar 2022
XAI for Transformers: Better Explanations through Conservative Propagation Ameen Ali Thomas Schnake Oliver Eberle G. Montavon Klaus-Robert Muller Lior Wolf FAtt 15 88 0 15 Feb 2022
Joint-bone Fusion Graph Convolutional Network for Semi-supervised Skeleton Action Recognition Zhigang Tu Jiaxu Zhang Hongyan Li Yujin Chen Junsong Yuan 30 76 0 08 Feb 2022
Deep Dynamic Effective Connectivity Estimation from Multivariate Time Series Usman Mahmood Z. Fu Vince D. Calhoun Sergey Plis 36 3 0 04 Feb 2022
Graph-Coupled Oscillator Networks T. Konstantin Rusch B. Chamberlain J. Rowbottom S. Mishra M. Bronstein 31 102 0 04 Feb 2022
Bending Graphs: Hierarchical Shape Matching using Gated Optimal Transport Mahdi Saleh Shun-cheng Wu Luca Cosmo Nassir Navab Benjamin Busam F. Tombari 20 22 0 03 Feb 2022
Learning Mechanically Driven Emergent Behavior with Message Passing Neural Networks Peerasait Prachaseree Emma Lejeune PINN AI4CE 33 11 0 03 Feb 2022
Laplacian2Mesh: Laplacian-Based Mesh Understanding Qiujie Dong Zixiong Wang Manyi Li Junjie Gao Shuangmin Chen Zhenyu Shu Shiqing Xin Changhe Tu Wenping Wang 14 25 0 01 Feb 2022
Deconfounding to Explanation Evaluation in Graph Neural Networks Yingmin Wu Xiang Wang An Zhang Xia Hu Fuli Feng Xiangnan He Tat-Seng Chua FAtt CML 17 14 0 21 Jan 2022
Debiased Graph Neural Networks with Agnostic Label Selection Bias Shaohua Fan Xiao Wang Chuan Shi Kun Kuang Nian Liu Bai Wang AI4CE 31 38 0 19 Jan 2022
Graph Decipher: A transparent dual-attention graph neural network to understand the message-passing mechanism for the node classification Yan Pang Chao Liu GNN 24 8 0 04 Jan 2022
Graph Neural Networks: a bibliometrics overview Abdalsamad Keramatfar Mohadeseh Rafiee Hossein Amirkhani GNN AI4CE 28 24 0 03 Jan 2022
Measuring and Sampling: A Metric-guided Subgraph Learning Framework for Graph Neural Network Jiyang Bai Yuxiang Ren Jiawei Zhang 25 3 0 30 Dec 2021
A singular Riemannian geometry approach to Deep Neural Networks I. Theoretical foundations A. Benfenati A. Marta 43 11 0 17 Dec 2021
Learning Connectivity with Graph Convolutional Networks for Skeleton-based Action Recognition H. Sahbi GNN 21 27 0 06 Dec 2021
Decoding the Protein-ligand Interactions Using Parallel Graph Neural Networks C. Knutson Mridula Bontha Jenna A. Bilbrey Neeraj Kumar 20 34 0 30 Nov 2021
A Graph Deep Learning Framework for High-Level Synthesis Design Space Exploration Lorenzo Ferretti Andrea Cini Georgios Zacharopoulos C. Alippi L. Pozzi 26 4 0 29 Nov 2021
AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020 Jin Xu Mingjian Chen Jianqiang Huang Xingyuan Tang Ke Hu Jian Li Jia Cheng Jun Lei 15 2 0 25 Nov 2021
Generalizing Graph Neural Networks on Out-Of-Distribution Graphs Shaohua Fan Xiao Wang Chuan Shi Peng Cui Bai Wang CML OOD OODD AI4CE 41 81 0 20 Nov 2021
Smart Data Representations: Impact on the Accuracy of Deep Neural Networks Oliver Neumann Nicole Ludwig Marian Turowski Benedikt Heidrich V. Hagenmeyer Ralf Mikut AI4TS 34 1 0 17 Nov 2021
Discovering Supply Chain Links with Augmented Intelligence Achintya Gopal Chun-Han Chang 29 3 0 02 Nov 2021
Roto-translated Local Coordinate Frames For Interacting Dynamical Systems Miltiadis Kofinas N. S. Nagaraja E. Gavves AI4CE 19 32 0 28 Oct 2021
DPFM: Deep Partial Functional Maps Souhaib Attaiki Gautam Pai M. Ovsjanikov 22 57 0 19 Oct 2021
Mesh Convolutional Autoencoder for Semi-Regular Meshes of Different Sizes Sara Hahner Jochen Garcke AI4CE 19 14 0 18 Oct 2021
PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape Representation Mohsen Yavartanoo Shih-Hsuan Hung Reyhaneh Neshatavar Yue Zhang Kyoung Mu Lee 19 15 0 15 Oct 2021
Understanding Pooling in Graph Neural Networks Daniele Grattarola Daniele Zambon F. Bianchi C. Alippi GNN FAtt AI4CE 24 90 0 11 Oct 2021