Geometric deep learning: going beyond Euclidean data

24 November 2016

Joan Bruna

Papers citing "Geometric deep learning: going beyond Euclidean data"

50 / 1,429 papers shown

Title
A Recipe for Geometry-Aware 3D Mesh Transformers Mohammad Farazi Yalin Wang 48 0 0 31 Oct 2024
Human Action Recognition (HAR) Using Skeleton-based Spatial Temporal Relative Transformer Network: ST-RTR Faisal Mehmood Enqing Chen Touqeer Abbas Samah M. Alzanin 31 0 0 31 Oct 2024
NASM: Neural Anisotropic Surface Meshing Hongbo Li Haikuan Zhu Sikai Zhong Ningna Wang Cheng Lin X. Guo Shiqing Xin Wenping Wang Jing Hua Z. Zhong 35 0 0 30 Oct 2024
Are Large-Language Models Graph Algorithmic Reasoners? Alexander K. Taylor Anthony Cuturrufo Vishal Yathish Mingyu Derek Ma Wei Wang LRM 46 0 0 29 Oct 2024
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks Pau Ferrer-Cid Jose M. Barcelo-Ordinas J. García-Vidal 42 2 0 28 Oct 2024
FACTS: A Factored State-Space Framework For World Modelling Li Nanbo Firas Laakom Yucheng Xu Wenyi Wang Jürgen Schmidhuber AI4TS 142 0 0 28 Oct 2024
Optimal Equivariant Architectures from the Symmetries of Matrix-Element Likelihoods Daniel Maître Vishal S. Ngairangbam M. Spannowsky 29 4 0 24 Oct 2024
Dynamic graph neural networks for enhanced volatility prediction in financial markets Pulikandala Nithish Kumar Nneka Umeorah Alex Alochukwu 25 0 0 22 Oct 2024
Convergence of Manifold Filter-Combine Networks David R. Johnson Joyce A. Chew Siddharth Viswanath E. Brouwer Deanna Needell Smita Krishnaswamy Michael Perlmutter 3DPC 35 0 0 18 Oct 2024
Topology-Agnostic Graph U-Nets for Scalar Field Prediction on Unstructured Meshes Kevin Ferguson Yu-Hsuan Chen Yiming Chen Andrew Gillman James Hardin Levent Burak Kara AI4CE 29 2 0 08 Oct 2024
FedGraph: A Research Library and Benchmark for Federated Graph Learning Yuhang Yao Yuan Li Xinyi Fan Junhao Li Kay Liu Weizhao Jin Srivatsan Ravi Philip S. Yu Carlee Joe-Wong FedML 27 0 0 08 Oct 2024
Hyperbolic Fine-tuning for Large Language Models Menglin Yang Aosong Feng Bo Xiong Jihong Liu Irwin King Rex Ying 23 1 0 05 Oct 2024
Scalable and Consistent Graph Neural Networks for Distributed Mesh-based Data-driven Modeling Shivam Barwey Riccardo Balin Bethany Lusch Saumil Patel Ramesh Balakrishnan Pinaki Pal R. Maulik V. Vishwanath GNN AI4CE 26 1 0 02 Oct 2024
RMLR: Extending Multinomial Logistic Regression into General Geometries Ziheng Chen Yue Song Rui Wang Xiaojun Wu N. Sebe 41 2 0 28 Sep 2024
Spatiotemporal Learning on Cell-embedded Graphs Yuan Mi Hao Sun 43 1 0 26 Sep 2024
HVT: A Comprehensive Vision Framework for Learning in Non-Euclidean Space Jacob Fein-Ashley Ethan Feng Minh Pham 30 3 0 25 Sep 2024
Improved Image Classification with Manifold Neural Networks Caio F. Deberaldini Netto Zhiyang Wang Luana Ruiz AI4CE 25 0 0 19 Sep 2024
Edge-Based Graph Component Pooling T. Snelleman B. M. Renting H. H. Hoos J. N. V. Rijn GNN 23 2 0 18 Sep 2024
SRIF: Semantic Shape Registration Empowered by Diffusion-based Image Morphing and Flow Estimation Mingze Sun Chen Guo Puhua Jiang Shiwei Mao Yurun Chen Ruqi Huang 46 4 0 18 Sep 2024
Neural Message Passing Induced by Energy-Constrained Diffusion Qitian Wu David Wipf Junchi Yan DiffM 52 1 0 13 Sep 2024
AD-Lite Net: A Lightweight and Concatenated CNN Model for Alzheimer's Detection from MRI Images Santanu Roy Archit Gupta Shubhi Tiwari Palak Sahu MedIm 22 4 0 12 Sep 2024
Mesh-based Super-Resolution of Fluid Flows with Multiscale Graph Neural Networks Shivam Barwey Pinaki Pal Saumil Patel Riccardo Balin Bethany Lusch V. Vishwanath R. Maulik R. Balakrishnan AI4CE 99 0 0 12 Sep 2024
Generalization of Geometric Graph Neural Networks Zhiyang Wang J. Cerviño Alejandro Ribeiro 30 2 0 08 Sep 2024
Towards Symbolic XAI -- Explanation Through Human Understandable Logical Relationships Between Features Thomas Schnake Farnoush Rezaei Jafaria Jonas Lederer Ping Xiong Shinichi Nakajima Stefan Gugler G. Montavon Klaus-Robert Müller 40 3 0 30 Aug 2024
TG-PhyNN: An Enhanced Physically-Aware Graph Neural Network framework for forecasting Spatio-Temporal Data Zakaria Elabid Lena Sasal Daniel Busby Abdenour Hadid AI4CE 33 1 0 29 Aug 2024
3D Point Cloud Network Pruning: When Some Weights Do not Matter Amrijit Biswas M. Hossain M. M. L. Elahi A. Cheraghian Fuad Rahman Nabeel Mohammed Shafin Rahman 3DPC 26 1 0 26 Aug 2024
Generalization of Graph Neural Networks is Robust to Model Mismatch Zhiyang Wang J. Cerviño Alejandro Ribeiro 45 1 0 25 Aug 2024
Learning Regularization for Graph Inverse Problems Moshe Eliasof Md Shahriar Rahim Siddiqui Carola-Bibiane Schönlieb Eldad Haber GNN 34 0 0 19 Aug 2024
A Methodological Report on Anomaly Detection on Dynamic Knowledge Graphs Xiaohua Lu Leshanshui Yang 48 0 0 12 Aug 2024
Generalization capabilities of MeshGraphNets to unseen geometries for fluid dynamics Robin Schmöcker Alexander Henkes Julian Roth Thomas Wick AI4CE 30 1 0 12 Aug 2024
A Laplacian-based Quantum Graph Neural Network for Semi-Supervised Learning Hamed Gholipour Farid Bozorgnia Kailash A. Hambarde Hamzeh Mohammadigheymasi Javier Mancilla André Sequeira Joao Neves Hugo Proença 32 0 0 10 Aug 2024
Stability Analysis of Equivariant Convolutional Representations Through The Lens of Equivariant Multi-layered CKNs Soutrik Roy Chowdhury 38 0 0 08 Aug 2024
Malicious Internet Entity Detection Using Local Graph Inference Šimon Mandlík Tomás Pevný Václav Smídl L. Bajer 30 1 0 06 Aug 2024
What Are Good Positional Encodings for Directed Graphs? Yinan Huang Haoyu Wang Pan Li 31 2 0 30 Jul 2024
Aero-Nef: Neural Fields for Rapid Aircraft Aerodynamics Simulations Giovanni Catalani Siddhant Agarwal Xavier Bertrand Frédéric Tost Michaël Bauerheim Joseph Morlier AI4CE 46 4 0 29 Jul 2024
Causal Deepsets for Off-policy Evaluation under Spatial or Spatio-temporal Interferences Runpeng Dai Jianing Wang Fan Zhou S. Luo Zhiwei Qin Chengchun Shi Hongtu Zhu CML OffRL 27 0 0 25 Jul 2024
End-to-end Stroke imaging analysis, using reservoir computing-based effective connectivity, and interpretable Artificial intelligence W. Ciezobka J. Falco-Roget C. Koba A. Crimi 29 1 0 17 Jul 2024
Advanced Graph Clustering Methods: A Comprehensive and In-Depth Analysis Timothé Watteau Aubin Bonnefoy Simon Illouz-Laurent Joaquim Jusseau Serge Iovleff 35 0 0 12 Jul 2024
Neural varifolds: an aggregate representation for quantifying the geometry of point clouds Juheon Lee Xiaohao Cai Carola-Bibian Schönlieb Simon Masnou 3DPC 46 0 0 05 Jul 2024
Aeroengine performance prediction using a physical-embedded data-driven method Tong Mo Shiran Dai An Fu Xiaomeng Zhu Shuxiao Li 27 0 0 29 Jun 2024
A Fast Learning-Based Surrogate of Electrical Machines using a Reduced Basis Alejandro Ribés Nawfal Benchekroun Théo Delagnes AI4CE 38 1 0 27 Jun 2024
Distributed Training of Large Graph Neural Networks with Variable Communication Rates J. Cerviño Md Asadullah Turja Hesham Mostafa N. Himayat Alejandro Ribeiro GNN AI4CE 51 0 0 25 Jun 2024
SE-VGAE: Unsupervised Disentangled Representation Learning for Interpretable Architectural Layout Design Graph Generation Jielin Chen R. Stouffs CoGe 41 0 0 25 Jun 2024
Graph Structure Learning with Interpretable Bayesian Neural Networks Max Wasserman Gonzalo Mateos CML 45 6 0 20 Jun 2024
Demystifying Higher-Order Graph Neural Networks Maciej Besta Florian Scheidl Lukas Gianinazzi S. Klaiman Jürgen Müller Torsten Hoefler 46 2 0 18 Jun 2024
Global-Local Graph Neural Networks for Node-Classification Moshe Eliasof Eran Treister 41 3 0 16 Jun 2024
Geodesic Distance Between Graphs: A Spectral Metric for Assessing the Stability of Graph Neural Networks S. S. Shuvo Ali Aghdaei Zhuo Feng 47 0 0 15 Jun 2024
Disentangled Hyperbolic Representation Learning for Heterogeneous Graphs Qijie Bai Changli Nie Haiwei Zhang Zhicheng Dou Xiaojie Yuan 43 0 0 14 Jun 2024
Generative AI-based Prompt Evolution Engineering Design Optimization With Vision-Language Model Melvin Wong Thiago Rios Stefan Menzel Yew-Soon Ong 31 2 0 13 Jun 2024
Equivariant Neural Tangent Kernels Philipp Misof Pan Kessel Jan E. Gerken 58 0 0 10 Jun 2024