PyTorch几何时态:利用神经机器学习模型处理时空信号(CICM 2021)
graph-convolution 开源项目推荐(43 个)
graph-convolution 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 43 个仓库“胶囊图神经网络”(ICLR 2019)的PyTorch实现。
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
PyTorch 实现的《Cluster-GCN:一种高效算法用于训练深层和大型图卷积网络》(KDD 2019)。
A repository of pretty cool datasets that I collected for network science and machine learning research.
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
Source code of CVPR 2020 paper, "HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation"
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
This repo contains code to convert Structured Documents to Graphs and implement a Graph Convolution Neural Network for node classification
Graph convolutions in Keras with TensorFlow, PyTorch or Jax.
A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).
Semantic Image Manipulation using Scene Graphs (CVPR 2020)
Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution
The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".
Keras implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation". Includes synthetic GED data.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/graph-convolution。
- 该话题在 GitHub 上共有 43 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 9330 Star,覆盖 2 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。