Update README.md

Author: LiZhang-github

README.md

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 # Graph Representation Learning
+
+## 2019 top conference paper for Graph Neural Network (updating)
+
+### ICML2019
+Adversarial Attacks on Node Embeddings via Graph Poisoning
+https://arxiv.org/pdf/1809.01093.pdf
+
+Learning Discrete Structures for Graph Neural Networks
+https://arxiv.org/pdf/1903.11960.pdf
+
+MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing
+https://arxiv.org/pdf/1905.00067.pdf
+
+Graph markov neural networks
+https://arxiv.org/pdf/1905.06214.pdf
+
+Disentangled Graph Convolutional Networks
+http://pengcui.thumedialab.com/papers/DisenGCN.pdf
+
+Position-aware Graph Neural Networks
+http://proceedings.mlr.press/v97/you19b/you19b.pdf
+
+### ICLR2019
+Adversarial Attacks on Graph Neural Networks via Meta Learning
+https://openreview.net/forum?id=Bylnx209YX
+
+Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs
+https://openreview.net/forum?id=BJluy2RcFm
+
+LanczosNet: Multi-Scale Deep Graph Convolutional Networks
+http://www.cs.toronto.edu/~rjliao/papers/NIPS_R2L_lanczos_net.pdf
+
+Predict then Propagate: Graph Neural Networks meet Personalized PageRank
+https://openreview.net/forum?id=H1gL-2A9Ym
+
+Wasserstein weisfeiler-lehman graph kernels
+https://arxiv.org/pdf/1906.01277.pdf
+
+RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
+https://openreview.net/forum?id=HkgEQnRqYQ
+
+
+### WWW/KDD 2019
+Session-based Social Recommendation via Dynamic Graph Attention Networks
+https://arxiv.org/pdf/1902.09362.pdf
+
+Heterogeneous Graph Attention Network
+https://arxiv.org/pdf/1903.07293.pdf
+
+Dual Graph Atention Networks for Deep Latent Representation of Multifaceted Social E€ects in Recommender Systems
+https://arxiv.org/pdf/1903.10433.pdf
+
+KGAT: Knowledge Graph Attention Network for Recommendation
+https://arxiv.org/pdf/1905.07854.pdf
+
+Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems
+https://arxiv.org/pdf/1905.04413.pdf
+
+Robust Graph Convolutional Networks Against Adversarial Attacks
+http://pengcui.thumedialab.com/papers/RGCN.pdf
+
+Graph Neural Networks for Social Recommendation
+https://arxiv.org/pdf/1902.07243.pdf
+
+### CVPR2019
+Actional-Structural Graph Convolutional Networks for Skeleton-based Action Recognition
+https://arxiv.org/pdf/1904.12659.pdf
+
+An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition
+https://arxiv.org/pdf/1902.09130.pdf
+
+Linkage Based Face Clustering via Graph Convolution Network
+https://arxiv.org/pdf/1903.11306.pdf
+
+Point Cloud Oversegmentation with Graph-Structured Deep Metric Learning
+https://arxiv.org/pdf/1904.02113.pdf
+
+
 ## Some important papers
 ### Recommend papers on NRL/NE
 https://github.com/thunlp/NRLPapers
@@ -16,22 +94,6 @@ http://snap.stanford.edu/proj/embeddings-www/
 ### Overview of neural network architectures for graph-structured data analysis
 http://www.cl.cam.ac.uk/~pv273/slides/UCLGraph.pdf
 
-## 2019 top conference paper for Graph Neural Network
-
-### ICML2019
-Adversarial Attacks on Node Embeddings via Graph Poisoning
-https://arxiv.org/pdf/1809.01093.pdf
-
-Learning Discrete Structures for Graph Neural Networks
-https://arxiv.org/pdf/1903.11960.pdf
-
-MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing
-https://arxiv.org/pdf/1905.00067.pdf
-
-Graph markov neural networks
-
-
-
 ## Graph Data
 ### LINQS Statistical Relational Learning Group
 https://linqs.soe.ucsc.edu/data