Prediction tasks over nodes and edges in networks require careful effort in engineering features used by learning algorithms. Recent research in the broader field of representation learning has led to significant progress in automating prediction by
深度学习领域的经典论文，主要由(hiton, lecun, bengio)三巨头完成，包括：
奠基：
DeepLearning_By_Three_Giant.pdf
Learning Representation By Back Propagation.pdf
Dropout- A Simple Way to Prevent Neural Networks from Overfitting.pdf
CNN:
ImageNet Classification with Deep Convolutio
Deep Walk (Perozzi et al.2014)
Learning node representations with the technique for learning word representations,i.e,Skipgram
Treat random walks on networks as sentences
Comparison between LINE,DeepWalk and Node2Vec
Algorithm
Neighbor Expansion
