geometric-deep-learning topic

[ECCV 2022] Official PyTorch Code of DEVIANT: Depth Equivariant Network for Monocular 3D Object Detection

abhi1kumar

A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.

basiralab

Implementation of "Overlapping Community Detection with Graph Neural Networks"

shchur

Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features

rubenwiersma

Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds."

rubenwiersma

A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)

PKU-DAIR

Source code for CVPR 2018 Oral paper "Surface Networks"

jiangzhongshi

Hierarchical Inter-Message Passing for Learning on Molecular Graphs

rusty1s

PyTorch reimplementation for "KPConv: Flexible and Deformable Convolution for Point Clouds" https://arxiv.org/abs/1904.08889

XuyangBai

MultiGraphGAN for predicting multiple target graphs from a source graph using geometric deep learning.

basiralab