阅读算法的原始论文是学习它的最好途径，为什么呢？一是网上的博客资料质量良莠不齐，有时可能是错的；二是论文中一定会重点阐述算法的核心创新点到底是怎么来的，以及这个算法的完整上下文。

集成学习

1. CatBoost: gradient boosting with categorical features support：catboost的全面介绍
2. CatBoost: unbiased boosting with categorical features：详细论述如何处理类别特征以及标签泄露问题

图算法

社区发现

1. Community structure in social and biological networks: GN算法，社区发现领域的第一篇论文
2. Finding and evaluating community structure in networks: 详细介绍模块度函数(modurity), IV部分
3. Fast unfolding of communities in large networks: state-of-art的算法Louvain
4. Near linear time algorithm to detect community structures in large-scale networks
   Towards Real-Time Community Detection in Large Networks : 标签传播算法
5. Uncovering the overlapping community structure of complex networks in nature and society: 第一篇重叠社区发现算法
6. Detecting the overlapping and hierarchical community structure in complex networks: 基于局部扩展的算法

图嵌入

1. DeepWalk: Online Learning of Social Representations
2. LINE: Large-scale Information Network Embedding
3. node2vec: Scalable Feature Learning for Networks

图神经网络

1. Semi-Supervised Classification With Graph Convolution Networks ：半监督
2. Graph Attention Networks
3. Inductive Representation Learning on Large Graphs ：Graphsage
4. Graph Convolutional Neural Networks for Web-ScaleRecommender Systems ：Pinsage

风控算法

1. Isolation Forest
2. Isolation-based Anomaly Detection
3. Outlier Detection with Autoencoder Ensembles
4. CopyCatch: Stopping Group Attacks by Spotting LockstepBehavior in Social Networks : 基于用户行为和时间的双聚类算法
5. Uncovering Large Groups of Active Malicious Accounts inOnline Social Networks ：Synchrotrap
6. FRAUDAR: Bounding Graph Fraud in the Face ofCamouflage

计算广告

点击率优化

1. Practical Lessons from Predicting Clicks on Ads at Facebook: GBDT+LR
2. Wide & Deep Learning for Recommender Systems: lr memorization & deep generalization
3. Factorization Machines: fm特征组合
4. DeepFM: A Factorization-Machine based Neural Network for CTR Prediction: fm替换人工特征组合
5. Field-aware Factorization Machines for CTR Prediction
6. Deep Interest Network for Click-Through Rate Prediction: 阿里巴巴din