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
Quotient Complex Transformer (QCformer) for Perovskite Data Analysis Xinyu You Xiang Liu Chuan-Shen Hu Kelin Xia Tze Chien Sum 21 0 0 14 May 2025
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FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Zihan Chen Xingbo Fu Yushun Dong Jundong Li Cong Shen FedML 69 0 0 29 Apr 2025
SPD Learning for Covariance-Based Neuroimaging Analysis: Perspectives, Methods, and Challenges Ce Ju Reinmar J. Kobler Antoine Collas M. Kawanabe Cuntai Guan Bertrand Thirion 41 0 0 26 Apr 2025
Geometry aware inference of steady state PDEs using Equivariant Neural Fields representations Giovanni Catalani Michaël Bauerheim Frédéric Tost Xavier Bertrand Joseph Morlier AI4CE 49 0 0 24 Apr 2025
PTCL: Pseudo-Label Temporal Curriculum Learning for Label-Limited Dynamic Graph Shengtao Zhang Haokai Zhang Shiqi Lou Zicheng Wang Zinan Zeng Yilin Wang Minnan Luo 66 0 0 24 Apr 2025
MSAD-Net: Multiscale and Spatial Attention-based Dense Network for Lung Cancer Classification Santanu Roy Shweta Singh Palak Sahu Ashvath Suresh Debashish Das 30 0 0 20 Apr 2025
Trajectory Encoding Temporal Graph Networks Jiafeng Xiong Rizos Sakellariou AI4CE 46 0 0 15 Apr 2025
Position: Beyond Euclidean -- Foundation Models Should Embrace Non-Euclidean Geometries Neil He Jiahong Liu Buze Zhang N. Bui Ali Maatouk Menglin Yang Irwin King Melanie Weber Rex Ying 29 0 0 11 Apr 2025
A Geometric-Aware Perspective and Beyond: Hybrid Quantum-Classical Machine Learning Methods Azadeh Alavia Hossein Akhoundib Fatemeh Kouchmeshkib Mojtaba Mahmoodianc Sanduni Jayasinghec Yongli Rena Abdolrahman Alavi AI4CE 38 0 0 08 Apr 2025
InfoGain Wavelets: Furthering the Design of Diffusion Wavelets for Graph-Structured Data David R. Johnson Smita Krishnaswamy Michael Perlmutter DiffM 49 0 0 08 Apr 2025
HGFormer: Topology-Aware Vision Transformer with HyperGraph Learning Hao Wang Shuo Zhang Biao Leng ViT 82 0 0 03 Apr 2025
Towards scientific machine learning for granular material simulations -- challenges and opportunities Marc Fransen Andreas Fürst D. Tunuguntla Daniel N. Wilke Benedikt Alkin ... Takayuki Shuku WaiChing Sun T. Weinhart Dongwei Ye Hongyang Cheng AI4CE 31 0 0 01 Apr 2025
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PowerGNN: A Topology-Aware Graph Neural Network for Electricity Grids Dhruv Suri Mohak Mangal AI4TS 37 0 0 26 Mar 2025
Galaxy Walker: Geometry-aware VLMs For Galaxy-scale Understanding Tianyu Chen Xingcheng Fu Yisen Gao Haodong Qian Yuecen Wei Kun Yan Haoyi Zhou J. Li 165 0 0 24 Mar 2025
NdLinear Is All You Need for Representation Learning Alex Reneau Jerry Yao-Chieh Hu Zhongfang Zhuang Ting-Chun Liu HAI 44 0 0 21 Mar 2025
Recursive Self-Similarity in Deep Weight Spaces of Neural Architectures: A Fractal and Coarse Geometry Perspective A. Moharil I. Kumara Damian Tamburri Majid Mohammadi Willem-jan Van Den Heuvel 60 0 0 18 Mar 2025
Beyond holography: the entropic quantum gravity foundations of image processing Ginestra Bianconi 55 1 0 18 Mar 2025
Fibonacci-Net: A Lightweight CNN model for Automatic Brain Tumor Classification Santanu Roy Ashvath Suresh Archit Gupta Shubhi Tiwari Palak Sahu Prashant Adhikari Yuvraj S. Shekhawat 50 0 0 18 Mar 2025
Learning Privacy from Visual Entities Alessio Xompero Andrea Cavallaro SSL GNN 61 0 0 16 Mar 2025
Inductive Spatio-Temporal Kriging with Physics-Guided Increment Training Strategy for Air Quality Inference S. M. I. Simon X. Yang Tao Yang Bo Hu 57 0 0 12 Mar 2025
Inorganic Catalyst Efficiency Prediction Based on EAPCR Model: A Deep Learning Solution for Multi-Source Heterogeneous Data Zhangdi Liu Ling An Mengke Song Zhuohang Yu Shan Wang Kezhen Qi Zhenyu Zhang Chichun Zhou 50 0 0 10 Mar 2025
Learning finite symmetry groups of dynamical systems via equivariance detection Pablo Calvo-Barlés Sergio G. Rodrigo Luis Martín-Moreno 50 0 0 04 Mar 2025
Equivariant Reinforcement Learning Frameworks for Quadrotor Low-Level Control Beomyeol Yu Taeyoung Lee 39 0 0 27 Feb 2025
Learning with Exact Invariances in Polynomial Time Ashkan Soleymani B. Tahmasebi Stefanie Jegelka P. Jaillet 65 0 0 27 Feb 2025
Corporate Fraud Detection in Rich-yet-Noisy Financial Graph Shiqi Wang Zhibo Zhang Libing Fang Cam-Tu Nguyen Wenzhon Li 63 0 0 26 Feb 2025
Structural Alignment Improves Graph Test-Time Adaptation Hans Hao-Hsun Hsu Shikun Liu Han Zhao Pan Li OOD TTA 60 0 0 25 Feb 2025
Scalable Graph Condensation with Evolving Capabilities Shengbo Gong Mohammad Hashemi Juntong Ni Carl Yang Wei-dong Jin 73 2 0 24 Feb 2025
Curvature Corrected Nonnegative Manifold Data Factorization Joyce A. Chew Willem Diepeveen Deanna Needell 64 0 0 24 Feb 2025
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks Maya Bechler-Speicher Ben Finkelshtein Fabrizio Frasca Luis Muller Jan Tonshoff ... Michael M. Bronstein Mathias Niepert Bryan Perozzi Mikhail Galkin Christopher Morris OOD 97 2 0 21 Feb 2025
GRAPHGPT-O: Synergistic Multimodal Comprehension and Generation on Graphs Yi Fang Bowen Jin Jiacheng Shen Sirui Ding Qiaoyu Tan J. Han 55 1 0 17 Feb 2025
A Hybrid Supervised and Self-Supervised Graph Neural Network for Edge-Centric Applications Eugenio Borzone Leandro Di Persia Matias Gerard SSL 70 0 0 21 Jan 2025
High-dimensional multimodal uncertainty estimation by manifold alignment:Application to 3D right ventricular strain computations Maxime Di Folco Gabriel Bernardino Patrick Clarysse Nicolas Duchateau 65 1 0 21 Jan 2025
Deep Learning for Ophthalmology: The State-of-the-Art and Future Trends Duy M. Nguyen Hasan Md Tusfiqur Alam T. Nguyen Devansh Srivastav H. Profitlich Ngan Le Daniel Sonntag 34 2 0 07 Jan 2025
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PointVoxelFormer -- Reviving point cloud networks for 3D medical imaging Mattias Paul Heinrich 3DPC 37 0 0 23 Dec 2024
FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Siddharth Ambekar Yuhang Yao Ryan Li Carlee Joe-Wong FedML 77 0 0 20 Dec 2024
Adaptive Graph Learning from Spatial Information for Surgical Workflow Anticipation Francis Xiatian Zhang Jingjing Deng Robert Lieck Hubert P. H. Shum 62 1 0 09 Dec 2024
A Self-guided Multimodal Approach to Enhancing Graph Representation Learning for Alzheimer's Diseases Zhepeng Wang Runxue Bao Yawen Wu Guodong Liu Lei Yang Liang Zhan Feng Zheng Weiwen Jiang Yanfu Zhang 68 0 0 09 Dec 2024
Dirac-Equation Signal Processing: Physics Boosts Topological Machine Learning Runyue Wang Yu Tian Pietro Liò Ginestra Bianconi 70 2 0 06 Dec 2024
Adversarial Attacks on Hyperbolic Networks Max van Spengler Jan Zahálka Pascal Mettes AAML OOD 94 0 0 02 Dec 2024
When does a bridge become an aeroplane? T. Dardeno L. Bull N. Dervilis Keith Worden 64 0 0 27 Nov 2024
Geometry Distributions Biao Zhang Jing Ren Peter Wonka 3DH AI4CE 84 0 0 25 Nov 2024
Point Cloud Denoising With Fine-Granularity Dynamic Graph Convolutional Networks Wenqiang Xu Wenrui Dai Duoduo Xue Ziyang Zheng Chenglin Li Junni Zou Hongkai Xiong 3DPC 77 0 0 21 Nov 2024
Generative Spatio-temporal GraphNet for Transonic Wing Pressure Distribution Forecasting Gabriele Immordino Andrea Vaiuso A. Ronch Marcello Righi AI4CE 77 0 0 18 Nov 2024
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