Tagged articles

geometric deep learning

3 articles · Page 1 of 1

Aug 13, 2026 · Artificial Intelligence

Riemannian Deep Learning: Modules, Networks, and Geometry

The article reviews Ziheng Chen’s PhD thesis on Riemannian Deep Learning, outlining a three‑layer framework that unifies manifold‑aware modules, geometry‑specific network designs, and learnable Riemannian metrics, and discusses theoretical foundations, batch normalization, classification heads, specialized networks, and extensive experiments across vision, signal, and graph domains.

Riemannian deep learningRiemannian metricsbatch normalization

0 likes · 18 min read

Riemannian Deep Learning: Modules, Networks, and Geometry

DataFunTalk

Oct 28, 2022 · Artificial Intelligence

Geometric Graph Neural Networks for Drug Discovery: 3D Structure‑Based Binding Affinity Prediction and Molecular Property Learning

This article presents a comprehensive overview of using geometric graph neural networks on the Baidu PaddleHelix platform to address challenges in drug discovery, including 3D‑structure‑aware protein‑ligand binding affinity prediction, molecular property prediction, and self‑supervised pre‑training, with experimental results showing significant improvements over existing baselines.

Drug DiscoverySelf-supervised Learninggeometric deep learning

0 likes · 16 min read

Geometric Graph Neural Networks for Drug Discovery: 3D Structure‑Based Binding Affinity Prediction and Molecular Property Learning

Code DAO

May 10, 2022 · Artificial Intelligence

How Geometric Deep Learning Enables Spherical CNNs for Rotationally Equivariant Vision

The article explains why traditional planar CNNs fail on spherical data, describes how encoding rotational symmetry through continuous spherical representations and spherical harmonics leads to spherical convolutions that are rotation‑equivariant, and outlines the practical computation using harmonic coefficients.

computer visiongeometric deep learningrotational equivariance

0 likes · 9 min read

How Geometric Deep Learning Enables Spherical CNNs for Rotationally Equivariant Vision