🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

Some Conferences' accepted paper lists (including AAAI, IJCAI, KDD, WWW, ICLR, ICML...)

Papers about explainability of GNNs

Papers about out-of-distribution generalization on graphs.

Awesome Graph Self-Supervised Learning

links to conference publications in graph-based deep learning

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

📚 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

CV算法岗知识点及面试问答汇总，主要分为计算机视觉、机器学习、图像处理和 C++基础四大块，一起努力向offers发起冲击！

计算机基础（计算机网络/操作系统/数据库/Git...）面试问题全面总结，包含详细的follow-up question以及答案；全部采用【问题+追问+答案】的形式，即拿即用，直击互联网大厂面试:rocket:；可用于模拟面试、面试前复习、短期内快速备战面试...

This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

Graph Star Net

深度学习入门教程&&优秀文章&&Deep Learning Tutorial

A collection of important graph embedding, classification and representation learning papers with implementations.

Papers on Graph neural network(GNN)

An Open-Source Package for Network Embedding (NE)

Geometric Deep Learning Extension Library for PyTorch

All Algorithms implemented in Python

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

Software used for generating embeddings from large-scale graph-structured data.

A curated list of network embedding techniques.

Implementation of Graph Auto-Encoders in TensorFlow

Must-read papers on graph neural networks (GNN)

Google AI Research

Implementation of Graph Convolutional Networks in TensorFlow

TensorFlow - A curated list of dedicated resources http://tensorflow.org