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
Transolver: A Fast Transformer Solver for PDEs on General Geometries Haixu Wu Huakun Luo Haowen Wang Jianmin Wang Mingsheng Long AI4CE 40 40 0 04 Feb 2024
Graph Transformers without Positional Encodings Ayush Garg 19 0 0 31 Jan 2024
Equivariant Manifold Neural ODEs and Differential Invariants Emma Andersdotter Fredrik Ohlsson 26 0 0 25 Jan 2024
Demystifying Chains, Trees, and Graphs of Thoughts Maciej Besta Florim Memedi Zhenyu Zhang Robert Gerstenberger Guangyuan Piao ... Aleš Kubíček H. Niewiadomski Aidan O'Mahony Onur Mutlu Torsten Hoefler AI4CE LRM 67 26 0 25 Jan 2024
Tensor-view Topological Graph Neural Network Tao Wen Elynn Chen Yuzhou Chen 29 9 0 22 Jan 2024
A Characterization Theorem for Equivariant Networks with Point-wise Activations Marco Pacini Xiaowen Dong Bruno Lepri G. Santin 36 2 0 17 Jan 2024
Feature Network Methods in Machine Learning and Applications Xinying Mu Mark Kon GNN 12 0 0 10 Jan 2024
Strong Transitivity Relations and Graph Neural Networks Yassin Mohamadi M. H. Chehreghani GNN 21 2 0 01 Jan 2024
Hybrid Modeling Design Patterns Maja Rudolph Stefan Kurz Barbara Rakitsch AI4CE 26 8 0 29 Dec 2023
Graph Learning in 4D: a Quaternion-valued Laplacian to Enhance Spectral GCNs Stefano Fiorini Stefano Coniglio Michele Ciavotta Enza Messina GNN 29 5 0 28 Dec 2023
Short-Term Multi-Horizon Line Loss Rate Forecasting of a Distribution Network Using Attention-GCN-LSTM Jie Liu Yijia Cao Yong Li Yixiu Guo Wei Deng 19 1 0 19 Dec 2023
When Graph Data Meets Multimodal: A New Paradigm for Graph Understanding and Reasoning Qihang Ai Jianwu Zhou Haiyun Jiang Lemao Liu Shuming Shi 15 1 0 16 Dec 2023
A charge-preserving method for solving graph neural diffusion networks Lidia Aceto Pietro Antonio Grassi 30 0 0 16 Dec 2023
Autoregressive fragment-based diffusion for pocket-aware ligand design Mahdi Ghorbani Leo Gendelev Paul Beroza Michael J. Keiser DiffM 23 8 0 15 Dec 2023
Simplicial Representation Learning with Neural $k$ -Forms Kelly Maggs Celia Hacker Bastian Alexander Rieck AI4CE 27 10 0 13 Dec 2023
Robust Graph Neural Network based on Graph Denoising Victor M. Tenorio Samuel Rey Antonio G. Marques AAML 29 1 0 11 Dec 2023
Dimension Mixer: A Generalized Method for Structured Sparsity in Deep Neural Networks Suman Sapkota Binod Bhattarai 29 0 0 30 Nov 2023
HOT: Higher-Order Dynamic Graph Representation Learning with Efficient Transformers Maciej Besta Afonso Claudino Catarino Lukas Gianinazzi Nils Blach Piotr Nyczyk H. Niewiadomski Torsten Hoefler 30 6 0 30 Nov 2023
On the Adversarial Robustness of Graph Contrastive Learning Methods Filippo Guerranti Zinuo Yi Anna Starovoit Rafiq Kamel Simon Geisler Stephan Günnemann AAML 36 2 0 29 Nov 2023
FastSample: Accelerating Distributed Graph Neural Network Training for Billion-Scale Graphs Hesham Mostafa Adam Grabowski Md Asadullah Turja J. Cerviño Alejandro Ribeiro N. Himayat GNN 26 1 0 29 Nov 2023
Improving embedding of graphs with missing data by soft manifolds Andrea Marinoni Pietro Lio' Alessandro Barp Christian Jutten M. Girolami 21 0 0 29 Nov 2023
Deep learning complete intersection Calabi-Yau manifolds Harold Erbin Riccardo Finotello 21 5 0 20 Nov 2023
Symmetry-invariant quantum machine learning force fields Isabel Nha Minh Le Oriel Kiss Julian Schuhmacher I. Tavernelli F. Tacchino AI4CE 28 12 0 19 Nov 2023
Graph Neural Networks for Pressure Estimation in Water Distribution Systems Huy Truong Andres Tello Alexander Lazovik Victoria Degeler 32 7 0 17 Nov 2023
Accurate and Fast Fischer-Tropsch Reaction Microkinetics using PINNs Harshil Patel Aniruddha Panda T. Nikolaienko Stanislav Jaso Alejandro Lopez Kaushic Kalyanaraman 28 2 0 17 Nov 2023
Identification of vortex in unstructured mesh with graph neural networks Lianfa Wang Yvan Fournier J. Wald Youssef Mesri 17 5 0 11 Nov 2023
Multiscale Neural Operators for Solving Time-Independent PDEs Winfried Ripken Lisa Coiffard Felix Pieper Sebastian Dziadzio AI4CE 19 2 0 10 Nov 2023
Dirichlet Energy Enhancement of Graph Neural Networks by Framelet Augmentation Jialin Chen Yuelin Wang Cristian Bodnar Rex Ying Pietro Lió Yu Guang Wang 29 10 0 09 Nov 2023
Basis restricted elastic shape analysis on the space of unregistered surfaces Emmanuel Hartman E. Pierson Martin Bauer Mohamed Daoudi N. Charon 23 4 0 07 Nov 2023
Truly Scale-Equivariant Deep Nets with Fourier Layers Md Ashiqur Rahman Raymond A. Yeh 47 8 0 06 Nov 2023
Scaling Riemannian Diffusion Models Aaron Lou Minkai Xu Stefano Ermon 22 8 0 30 Oct 2023
A Survey on Knowledge Editing of Neural Networks Vittorio Mazzia Alessandro Pedrani Andrea Caciolai Kay Rottmann Davide Bernardi KELM 20 24 0 30 Oct 2023
Facilitating Graph Neural Networks with Random Walk on Simplicial Complexes Cai Zhou Xiyuan Wang Muhan Zhang 31 14 0 30 Oct 2023
Prediction of Effective Elastic Moduli of Rocks using Graph Neural Networks Jaehong Chung R. Ahmad WaiChing Sun Wei Cai T. Mukerji 10 8 0 30 Oct 2023
Unsupervised Representation Learning for Diverse Deformable Shape Collections Sara Hahner Souhaib Attaiki Jochen Garcke M. Ovsjanikov 23 1 0 27 Oct 2023
MSFormer: A Skeleton-multiview Fusion Method For Tooth Instance Segmentation Yuan Li Huan Liu Y. Tao Xiangyang He Haifeng Li Xiaohu Guo Hai Lin 25 0 0 23 Oct 2023
Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries Haitz Sáez de Ocáriz Borde Anastasis Kratsios 37 4 0 23 Oct 2023
Graph Neural Networks with polynomial activations have limited expressivity Sammy Khalife 27 0 0 19 Oct 2023
On the spectrum of the Hodge Laplacian on sequences Hannah Santa Cruz Baur V. Itskov 22 0 0 17 Oct 2023
From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond Andi Han Dai Shi Lequan Lin Junbin Gao AI4CE GNN 35 20 0 16 Oct 2023
LGL-BCI: A Motor-Imagery-Based Brain-Computer Interface with Geometric Learning Jianchao Lu Yuzhe Tian Yang Zhang Jiaqi Ge Quan Z. Sheng 15 1 0 12 Oct 2023
Enhanced Graph Neural Networks with Ego-Centric Spectral Subgraph Embeddings Augmentation Anwar Said Mudassir Shabbir Tyler Derr W. Abbas X. Koutsoukos 21 2 0 10 Oct 2023
Geometrically Aligned Transfer Encoder for Inductive Transfer in Regression Tasks Sung Moon Ko Sumin Lee Dae-Woong Jeong Woohyung Lim Sehui Han 16 3 0 10 Oct 2023
Data-centric Graph Learning: A Survey Jixi Liu Deyu Bo Cheng Yang Haoran Dai Qi Zhang Yixin Xiao Yufei Peng Chuan Shi GNN 27 19 0 08 Oct 2023
URLOST: Unsupervised Representation Learning without Stationarity or Topology Zeyu Yun Juexiao Zhang Bruno A. Olshausen Yann LeCun 28 0 0 06 Oct 2023
Graph Neural Networks and Time Series as Directed Graphs for Quality Recognition Angelica Simonetti Ferdinando Zanchetta AI4CE 13 0 0 04 Oct 2023
Neural Bayes Estimators for Irregular Spatial Data using Graph Neural Networks Matthew Sainsbury-Dale A. Zammit‐Mangion J. Richards Raphael Huser 28 15 0 04 Oct 2023
On the Stability of Expressive Positional Encodings for Graphs Yinan Huang William Lu Joshua Robinson Yu Yang Muhan Zhang Stefanie Jegelka Pan Li 26 8 0 04 Oct 2023
Differentiable Modeling and Optimization of Battery Electrolyte Mixtures Using Geometric Deep Learning Shang Zhu Bharath Ramsundar Emil Annevelink Hongyi Lin Adarsh Dave Pin-Wen Guan Kevin Gering Venkat Viswanathan 8 1 0 03 Oct 2023
Why should autoencoders work? Matthew D. Kvalheim E.D. Sontag 19 0 0 03 Oct 2023