Awesome Open Source

Programming Languages

Search results for graph neural networks generative model

generative-model x

graph-neural-networks x

11 search results found

Awesome Semi Supervised Learning ⭐ 1,573

😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019

Molecule Generation ⭐ 229

Implementation of MoLeR: a generative model of molecular graphs which supports scaffold-constrained generation

Diffsbdd ⭐ 227

A Euclidean diffusion model for structure-based drug design.

Geodiff ⭐ 211

Implementation of GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation (ICLR 2022).

Machinelearning Ai ⭐ 184

This repository contains all the work that I regularly did and studied from Medium blogs, several research papers, and other Repos (related/unrelated to the research papers).

[ECCV 2022 oral] Official PyTorch implementation of the paper "Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal Anchors"

Official implementation of DrugGEN

Official Github for "Molecular generative model via retrosynthetically prepared chemical building block assembly" (Advanced Science)

Graphmaker ⭐ 17

code for the paper "GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?"

Deepsphere Cosmo Tf2 ⭐ 17

A spherical convolutional neural network for cosmology (TFv2).

PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"

Point Cloud Galaxy Diffusion ⭐ 15

Dffusion modeling for galaxy clustering. Code repository associated with https://arxiv.org/abs/2311.17141

Keypoint Diffusion ⭐ 12

A diffusion model for structure-based drug design with faster inference from learned representations of protein structure.

Personal Accepted Research ⭐ 12

Welcome to quote our published papers, and the codes have been uploaded.

Gnn Surrogate ⭐ 12

GNN-Surrogate: A Hierarchical and Adaptive Graph Neural Network for Parameter Space Exploration of Unstructured-Mesh Ocean Simulations - Source Code

Pocket2drug ⭐ 9

Pytorch implementation of Pocket2Drug: a generative deep learning model to predict binding drugs for ligand-binding sites.

[NeurIPS'2023] "GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks"

Related Searches

Python Generative Model (580)

Python Graph Neural Networks (439)

Deep Learning Generative Model (296)

1-11 of 11 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.