预测动态图的演变
    Predicting Evolution of Dynamic Graphs
    数据集：PeMS District 7 数据集 洛杉矶都会区的交通预测
    https://medium.com/stanford-cs224w/predicting-evolution-of-dynamic-graphs-7688eca1daf8

    通过 PyG 使用 Graph Neural Networks 预测 CS 论文的主题领域
    Predicting subject areas of CS papers using Graph Neural Networks via PyG
    模型：GCN，GAT，MLP，随机森林； 数据集：ogbn-arxiv
    https://medium.com/stanford-cs224w/predicting-subject-areas-of-cs-papers-using-graph-neural-networks-via-pyg-ea107fd4f571

    使用图注意力网络进行欺诈检测
    Fraud detection with Graph Attention Networks
    模型：GAT,GATv2； 数据集：比特币交易
    有2个模型的源码
    https://medium.com/stanford-cs224w/fraud-detection-with-gat-edac49bda1a0

    基于图神经网络的电影推荐系统
    Graph Neural Network based Movie Recommender System
    数据集：MovieLens 数据集；使用 IGMC框架
    https://medium.com/stanford-cs224w/graph-neural-network-based-movie-recommender-system-5876b9686df3

    在线链接预测 Online Link Prediction with Graph Neural Networks
    https://medium.com/stanford-cs224w/online-link-prediction-with-graph-neural-networks-46c1054f2aa4

    C&S：将数据中的图形结构与预测后处理一起使用
    C&S: Use the graph structure in your data with prediction post-processing
    数据集：LastFM Asia （根据用户喜欢的歌手和朋友 预测 用户的国家）
    https://medium.com/stanford-cs224w/c-s-use-the-graph-structure-in-your-data-with-prediction-post-processing-ec36adb6d6a1

    Graph Representation Learning — The Encoder-Decoder Model (Part 2)
    https://towardsdatascience.com/graph-representation-learning-the-encoder-decoder-model-part-2-ed8b505af447

    WikiNet — CS224W 课程项目的循环图神经网络实践
    微信公众号文章链接https://mp.weixin.qq.com/s/1BhJNTvKvcmyr0KSR8XF-w
    https://medium.com/stanford-cs224w/wikinet-an-experiment-in-recurrent-graph-neural-networks-3f149676fbf3