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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 / 847 papers shown

Title
A Unified View on Neural Message Passing with Opinion Dynamics for Social Networks Outongyi Lv Bingxin Zhou Jing Wang Xiang Xiao Weishu Zhao Lirong Zheng 69 1 0 02 Oct 2023
AtomSurf : Surface Representation for Learning on Protein Structures Vincent Mallet Souhaib Attaiki M. Ovsjanikov 93 3 0 28 Sep 2023
GNNHLS: Evaluating Graph Neural Network Inference via High-Level Synthesis Chen Zhao Zehao Dong Yixin Chen Xuan Zhang Roger D. Chamberlain GNN 80 2 0 27 Sep 2023
A Topological Machine Learning Pipeline for Classification Francesco Conti Davide Moroni M. A. Pascali 50 11 0 26 Sep 2023
Neural Discovery of Permutation Subgroups Pavan Karjol Rohan Kashyap A. Prathosh 62 3 0 11 Sep 2023
A Unified Framework for Discovering Discrete Symmetries Pavan Karjol Rohan Kashyap Aditya Gopalan Prathosh A.P. 65 4 0 06 Sep 2023
BLiSS: Bootstrapped Linear Shape Space Sanjeev Muralikrishnan C. Huang Duygu Ceylan Niloy J. Mitra 64 3 0 04 Sep 2023
Geometric Deep Learning: a Temperature Based Analysis of Graph Neural Networks M. Lapenna F. Faglioni F. Zanchetta R. Fioresi AI4CE 19 0 0 01 Sep 2023
Efficient and Explainable Graph Neural Architecture Search via Monte-Carlo Tree Search Yuya Sasaki 79 0 0 30 Aug 2023
Half-Hop: A graph upsampling approach for slowing down message passing Mehdi Azabou Venkataraman Ganesh S. Thakoor Chi-Heng Lin Lakshmi Sathidevi Ran Liu Michal Valko Petar Velickovic Eva L. Dyer 97 23 0 17 Aug 2023
Language is All a Graph Needs Ruosong Ye Caiqi Zhang Runhui Wang Shuyuan Xu Yongfeng Zhang AI4CE 164 170 0 14 Aug 2023
Spatio-Temporal Encoding of Brain Dynamics with Surface Masked Autoencoders Simon Dahan Logan Z. J. Williams Yourong Guo Daniel Rueckert E. C. Robinson 64 0 0 10 Aug 2023
PVG: Progressive Vision Graph for Vision Recognition Jiafu Wu Jian Li Jiangning Zhang Boshen Zhang M. Chi Yabiao Wang Chengjie Wang ViT 124 15 0 01 Aug 2023
PatchMixer: Rethinking network design to boost generalization for 3D point cloud understanding Davide Boscaini Fabio Poiesi 3DPC 3DV 55 7 0 28 Jul 2023
Co-attention Graph Pooling for Efficient Pairwise Graph Interaction Learning Junhyun Lee Bumsoo Kim Minji Jeon Jaewoo Kang GNN 56 1 0 28 Jul 2023
Improving Reliable Navigation under Uncertainty via Predictions Informed by Non-Local Information Raihan Islam Arnob Gregory J. Stein 53 2 0 26 Jul 2023
How Curvature Enhance the Adaptation Power of Framelet GCNs Dai Shi Yi Guo Zhiqi Shao Junbin Gao 66 14 0 19 Jul 2023
Pixel-wise Graph Attention Networks for Person Re-identification Wenyu Zhang Qing Ding Jian Hu Yi Ma Mingzhe Lu GNN 65 11 0 18 Jul 2023
Learning Adaptive Neighborhoods for Graph Neural Networks Avishkar Saha Oscar Alejandro Mendez Maldonado Chris Russell Richard Bowden GNN 135 5 0 18 Jul 2023
MeT: A Graph Transformer for Semantic Segmentation of 3D Meshes Giuseppe Vecchio Luca Prezzavento C. Pino Francesco Rundo S. Palazzo C. Spampinato 65 5 0 03 Jul 2023
SUGAR: Spherical Ultrafast Graph Attention Framework for Cortical Surface Registration Jianxun Ren Ning An Youjia Zhang Danyang Wang Zhenyu Sun ... Qingyu Hu P. Zhang D. Hu Danhong Wang Hesheng Liu 69 4 0 02 Jul 2023
SHARCS: Shared Concept Space for Explainable Multimodal Learning Gabriele Dominici Pietro Barbiero Lucie Charlotte Magister Pietro Lio Nikola Simidjievski 77 6 0 01 Jul 2023
On Addressing the Limitations of Graph Neural Networks Sitao Luan GNN 82 5 0 22 Jun 2023
Structure-Aware DropEdge Towards Deep Graph Convolutional Networks Jiaqi Han Wen-bing Huang Yu Rong Tingyang Xu Gang Hua Junzhou Huang 88 6 0 21 Jun 2023
Meta-Learning for Airflow Simulations with Graph Neural Networks Wenzhuo Liu Mouadh Yagoubi Marc Schoenauer AI4CE 61 0 0 18 Jun 2023
Advancing Biomedicine with Graph Representation Learning: Recent Progress, Challenges, and Future Directions Fang Li Yi Nian Zenan Sun Cui Tao LM&MA OOD AI4TS AI4CE 68 6 0 18 Jun 2023
A Simple and Scalable Graph Neural Network for Large Directed Graphs Seiji Maekawa Yuya Sasaki Makoto Onizuka GNN 65 0 0 14 Jun 2023
Path Neural Networks: Expressive and Accurate Graph Neural Networks Gaspard Michel Giannis Nikolentzos J. Lutzeyer Michalis Vazirgiannis GNN 95 31 0 09 Jun 2023
Point-Voxel Absorbing Graph Representation Learning for Event Stream based Recognition Bowei Jiang Chengguo Yuan Tianlin Li Zhimin Bao Lin Zhu Yonghong Tian Bin Luo GNN 3DPC 80 4 0 08 Jun 2023
Fine-grained Expressivity of Graph Neural Networks Jan Böker Ron Levie Ningyuan Huang Soledad Villar Christopher Morris 106 21 0 06 Jun 2023
CIN++: Enhancing Topological Message Passing Lorenzo Giusti Teodora Reu Francesco Ceccarelli Cristian Bodnar Pietro Lio GNN 106 10 0 06 Jun 2023
Automating Style Analysis and Visualization With Explainable AI -- Case Studies on Brand Recognition Yu-hsuan Chen Levent Burak Kara Jonathan Cagan 78 3 0 05 Jun 2023
R-Mixup: Riemannian Mixup for Biological Networks Xuan Kan Zimu Li Hejie Cui Yue Yu Ran Xu Shaojun Yu Zilong Zhang Ying Guo Carl Yang 101 8 0 05 Jun 2023
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization Shurui Gui Meng Liu Xiner Li Youzhi Luo Shuiwang Ji CML OOD 88 30 0 01 Jun 2023
Geometric Graph Filters and Neural Networks: Limit Properties and Discriminability Trade-offs Zhiyang Wang Luana Ruiz Alejandro Ribeiro GNN 75 7 0 29 May 2023
Physics-Regulated Deep Reinforcement Learning: Invariant Embeddings H. Cao Y. Mao L. Sha Marco Caccamo PINN AI4CE 76 6 0 26 May 2023
MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under non-parameterized geometrical variability F. Casenave B. Staber Xavier Roynard AI4CE 70 17 0 22 May 2023
A graph convolutional autoencoder approach to model order reduction for parametrized PDEs F. Pichi B. Moya J. Hesthaven AI4CE 81 59 0 15 May 2023
Neural Face Rigging for Animating and Retargeting Facial Meshes in the Wild Dafei Qin Jun Saito Noam Aigerman Thibault Groueix Taku Komura 3DH CVBM 111 22 0 15 May 2023
Enhancing Road Safety through Accurate Detection of Hazardous Driving Behaviors with Graph Convolutional Recurrent Networks Pooyan Khosravinia Thinagaran Perumal Javad Zarrin 51 7 0 08 May 2023
Materials Informatics: An Algorithmic Design Rule B. Bishnoi 58 0 0 05 May 2023
How Graph Structure and Label Dependencies Contribute to Node Classification in a Large Network of Documents Pirmin Lemberger Antoine Saillenfest GNN 54 0 0 03 Apr 2023
Learning Harmonic Molecular Representations on Riemannian Manifold Yiqun Wang Yuning Shen Shih‐Ya Chen Lihao Wang Fei Ye Hao Zhou 93 12 0 27 Mar 2023
Spatio-Temporal driven Attention Graph Neural Network with Block Adjacency matrix (STAG-NN-BA) U. Nazir W. Islam M. Taj 76 3 0 25 Mar 2023
The Multiscale Surface Vision Transformer Simon Dahan Logan Z. J. Williams Daniel Rueckert E. C. Robinson MedIm ViT 78 5 0 21 Mar 2023
A Survey on Oversmoothing in Graph Neural Networks T. Konstantin Rusch Michael M. Bronstein Siddhartha Mishra 101 213 0 20 Mar 2023
Learned Parameter Selection for Robotic Information Gathering Chris Denniston G. Salhotra Akseli Kangaslahti D. Caron Gaurav Sukhatme 68 3 0 09 Mar 2023
Node-Specific Space Selection via Localized Geometric Hyperbolicity in Graph Neural Networks See Hian Lee Feng Ji Wee Peng Tay 62 1 0 03 Mar 2023
Building Shortcuts between Distant Nodes with Biaffine Mapping for Graph Convolutional Networks Acong Zhang Jincheng Huang Ping Li Kaizheng Zhang GNN 72 4 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 97 50 0 10 Feb 2023