Added 5 paper implementations. (bharathgs#49)

All of the implementations are from 2018-2019, most of them with 50+ stars.

README.md

@@ -542,6 +542,11 @@ Janai, J., Güney, F., Ranjan, A., Black, M. and Geiger, A., Unsupervised Learni
 293. [fluidnet_cxx](https://github.com/jolibrain/fluidnet_cxx): FluidNet re-written with ATen tensor lib. 
 294. [Deep-Reinforcement-Learning-Algorithms-with-PyTorch](https://github.com/p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch): This repository contains PyTorch implementations of deep reinforcement learning algorithms.
 295. [Shufflenet-v2-Pytorch](https://github.com/ericsun99/Shufflenet-v2-Pytorch): This is a Pytorch implementation of faceplusplus's ShuffleNet-v2. 
+296. [GraphWaveletNeuralNetwork](https://github.com/benedekrozemberczki/GraphWaveletNeuralNetwork): This is a Pytorch implementation of Graph Wavelet Neural Network. ICLR 2019. 
+297. [AttentionWalk](https://github.com/benedekrozemberczki/AttentionWalk): This is a Pytorch implementation of Watch Your Step: Learning Node Embeddings via Graph Attention. NIPS 2018.
+298. [SGCN](https://github.com/benedekrozemberczki/SGCN): This is a Pytorch implementation of Signed Graph Convolutional Network. ICDM 2018.
+299. [SINE](https://github.com/benedekrozemberczki/SINE): This is a Pytorch implementation of SINE: Scalable Incomplete Network Embedding. ICDM 2018.
+300. [GAM](https://github.com/benedekrozemberczki/GAM): This is a Pytorch implementation of Graph Classification using Structural Attention. KDD 2018.
 
 ## Pytorch elsewhere