graph-convolution

#计算机科学#PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

#计算机科学#A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

#计算机科学#A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

#计算机科学#A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

#计算机科学#A repository of pretty cool datasets that I collected for network science and machine learning research.

#计算机科学#A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

#计算机科学#An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).

#计算机科学#A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).

#计算机科学#Source code of CVPR 2020 paper, "HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation"

#计算机科学#A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

#计算机科学#A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)

#计算机科学#This repo contains code to convert Structured Documents to Graphs and implement a Graph Convolution Neural Network for node classification

#计算机科学#Graph convolutions in Keras with TensorFlow, PyTorch or Jax.

#计算机科学#A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

#计算机科学#NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions

#计算机科学#A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).

#计算机科学#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

#计算机科学#The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".

#计算机科学#Keras implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation". Includes synthetic GED data.