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pytorch_practice

这是我学习 PyTorch 的笔记对应的代码，点击查看 PyTorch 笔记在线电子书

pytorch_sparse

PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations

qematerial

All materials are related to QE exam

raha

relationprediction

ACL 2019: Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs

reliable_gnn_via_robust_aggregation

This repository contains the official implementation of the paper "Reliable Graph Neural Networks via Robust Aggregation" (NeurIPS, 2020).

renode

Code for Neurips2021 Paper "Topology-Imbalance Learning for Semi-Supervised Node Classification".

representation_learning_on_graphs_with_jumping_knowledge_networks

Representation Learning on Graphs with Jumping Knowledge Networks

rim

RIM: Reliable Influence-based Active Learning on Graphs (NeurIPS'21 Spotlight)

robognn

robograph

The implementation of paper "Certified Robustness of Graph Convolution Networks for Graph Classification under Topological Attacks"

robust-gcn

Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".

robust-gcn-structure

sagpool

Official PyTorch Implementation of SAGPool - ICML 2019

shengguanwsu.github.io

smoothing

Provable adversarial robustness at ImageNet scale

smoothing-adversarial

Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"

snap

Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.

source-code-notebook

关于一些经典论文源码的逐行中文笔记

spagan

PyTorch Implement for Path Attention Graph Network

spatio-temporal-gcn

This is for the spatio-temporal GCN paper

speedyrec

ss-gcns

[ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen

st-gcn

Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

stgcn

This code is the modification based on STGCN repo for power grid data

stgcn-1

The PyTorch version of STGCN implemented by the paper

stgcn-pytorch

🚗 Implementation of spatio-temporal graph convolutional network with PyTorch

stgcn_ijcai-18

Spatio-Temporal Graph Convolutional Networks

stgnn

The pytorch implementation of Traffic Flow Prediction via Spatial Temporal Graph Neural Network

stochastic_gcn

Stochastic training of graph convolutional networks