Influential simplices mining via simplicial convolutional networks

Structure-Enhanced Graph Neural ODE Network for Temporal Link Prediction

[AAAI 2023] Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks

ICDE2023-CLDG: Contrastive Learning on Dynamic Graphs

（WAIM/APWeb 2022）Transformer-based Representation Learning on Temporal Heterogeneous Graphs

This github contains the implementation of the method proposed in MDGNN_BS paper

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

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

PyGCL: A PyTorch Library for Graph Contrastive Learning

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

100-Days-Of-ML-Code中文版

推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

Awesome Papers About Performing Prompting On Graphs

A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.

Papers about large graph models.

Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

剑指Offer与Leetcode对应题目

Datawhale成员整理的面经，内容包括机器学习，CV，NLP，推荐，开发等，欢迎大家star

2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记，此外，还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的，其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）