papers-we-learn

旨在归纳Angel高性能分布式机器学习与图计算平台实践过程中所借鉴的计算机领域论文，理论与实践相结合

distributed systems

收录angel实现分布式参数服务器、以及机器学习、图计算框架时借鉴的论文

1. Resilient Distributed Datasets A Fault-Tolerant Abstraction for In-Memory Cluster Computing(Spark).pdf paper
2. Parameter Server for Distributed Machine Learning(Parameter Server).pdf paper
3. Angel a new large-scale machine learning system(Angel).pdf paper
4. Pregel A System for Large-scale Graph Processing(Pregel).pdf paper
5. Distributed GraphLab A Framework for Machine Learning and Data Mining in the cloud(GraphLab).pdf paper
6. PowerGraph Distributed Graph-Parallel Computation on Natural Graphs(PowerGraph).pdf paper
7. Graphx Unifying Data-Parallel and Graph-Parallel Analytics(Graphx).pdf paper
8. PSGraph How Tencent trains extremely large-scale graphs with Spark(PSGraph).pdf paper

graph mining

收录angel实现的传统图算法

1. The PageRank Citation Ranking Bringing Order to the Web(Pagerank).pdf paper
2. The H-index of a network node and its relation to degree and coreness(kcore hindex).pdf paper
3. HyperAnf Approximating the Neighbourhood Function of Very Large Graphs on a Budget(HyperAnf).pdf paper
4. Centralities in Large Networks Algorithms and Observations(Closeness).pdf paper

graph embedding

收录angel实现的图表示学习相关论文

1. DeepWalk Online Learning of Social Representations(DeepWalk).pdf paper
2. LINE Large-scale Information Network Embedding(LINE).pdf paper
3. Metapath2Vec Scalable Representation Learning for Heterogeneous Networks(Metapath2Vec).pdf paper

graph neural network

收录angel已实现或即将实现的图神经网络相关论文

1. Graph Convolutional Neural Networks for Web-Scale Recommender Systems(Pinsage).pdf paper
2. How Powerful Are Graph Neural Networks(GNN and WL Test).pdf paper
3. Inductive Representation Learning On Large Graphs(Graphsage).pdf paper
4. Semi-Supervised Classification With Graph Convolutional Networks(GCN).pdf paper
5. DeepTrax Embedding Graphs of Financial Transactions(Financial).pdf paper

machine learning

收录angel已实现或即将实现的机器学习算法论文

1. Ad Click Prediction ~ a View from the Trenches(FTRL).pdf paper
2. An Introduction to Logistic Regression Analysis and Reporting.pdf paper
3. Attentional Factorization Machines ~ Learning the Weighted of Feature Interactions via Attention Networks(AttentionFM).pdf paper
4. Factorization Machines(FM).pdf paper
5. DeepFM A Factorization-Machine based Neural Network for CTR Prediction(DeepFM).pdf paper
6. xDeepFM~ Combining Explicit and Implicit Feature Interactions for Recommender Systems(xDeepFM).pdf paper
7. LDA ~ A Robust and Large-scale Topic Modeling System(LDA).pdf paper
8. Product-based Neural Networks for User Response Prediction(PNN).pdf paper
9. Space-Efficient Online Computation of Quantile Summaries(Quantile Summaries).pdf paper
10. Web-Scale K-Means Clustering(Kmeans).pdf paper
11. Wide & Deep Learning for Recommender Systems(DeepAndWide).pdf paper
12. XGBoost ~ A Scalable Tree Boosting System(XGBoost).pdf paper
13. Deep & Cross Network for Ad Click Predictions(DCN).pdf paper

nlp

自然语言处理相关的算法论文

1. Distributed Representations of Words and Phrases and their Compositionality (Word2Vec).pdf paper