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Minnan Luo | Qinghua Zheng | Zhen Peng | Xiao-Ming Wu | Yixiang Dong | Q. Zheng | Xiao-Ming Wu | Minnan Luo | Yixiang Dong | Zhen Peng
[1] Stefano Ermon,et al. Graphite: Iterative Generative Modeling of Graphs , 2018, ICML.
[2] Mathias Niepert,et al. Learning Graph Representations with Embedding Propagation , 2017, NIPS.
[3] Junzhou Huang,et al. Adaptive Sampling Towards Fast Graph Representation Learning , 2018, NeurIPS.
[4] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[5] Jian Li,et al. Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec , 2017, WSDM.
[6] Pietro Liò,et al. Deep Graph Infomax , 2018, ICLR.
[7] 김삼묘,et al. “Bioinformatics” 특집을 내면서 , 2000 .
[8] Nathalie Japkowicz,et al. The class imbalance problem: A systematic study , 2002, Intell. Data Anal..
[9] Xiaotong Zhang,et al. Attributed Graph Clustering via Adaptive Graph Convolution , 2019, IJCAI.
[10] Fanghua Ye,et al. Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection , 2018, CIKM.
[11] Cao Xiao,et al. FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling , 2018, ICLR.
[12] Xueqi Cheng,et al. Graph Wavelet Neural Network , 2019, ICLR.
[13] Max Welling,et al. Semi-Supervised Classification with Graph Convolutional Networks , 2016, ICLR.
[14] Huan Liu,et al. Unsupervised Streaming Feature Selection in Social Media , 2015, CIKM.
[15] Steven Skiena,et al. DeepWalk: online learning of social representations , 2014, KDD.
[16] Jure Leskovec,et al. Predicting multicellular function through multi-layer tissue networks , 2017, Bioinform..
[17] Yoshua Bengio,et al. GMNN: Graph Markov Neural Networks , 2019, ICML.
[18] Ruoyu Li,et al. Adaptive Graph Convolutional Neural Networks , 2018, AAAI.
[19] Jure Leskovec,et al. Inductive Representation Learning on Large Graphs , 2017, NIPS.
[20] Yingli Tian,et al. Self-Supervised Visual Feature Learning With Deep Neural Networks: A Survey , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[21] E. Todeva. Networks , 2007 .
[22] Sergey Levine,et al. Grasp2Vec: Learning Object Representations from Self-Supervised Grasping , 2018, CoRL.
[23] Pietro Liò,et al. Graph Attention Networks , 2017, ICLR.
[24] Hao Ma,et al. GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs , 2018, UAI.
[25] Yoshua Bengio,et al. Understanding the difficulty of training deep feedforward neural networks , 2010, AISTATS.
[26] Geoffrey E. Hinton,et al. Visualizing Data using t-SNE , 2008 .
[27] Xiao-Ming Wu,et al. Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning , 2018, AAAI.
[28] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[29] Zhanxing Zhu,et al. Multi-Stage Self-Supervised Learning for Graph Convolutional Networks , 2020, AAAI.
[30] Nikos Komodakis,et al. Unsupervised Representation Learning by Predicting Image Rotations , 2018, ICLR.
[31] William Yang Wang,et al. Self-Supervised Dialogue Learning , 2019, ACL.
[32] Alexei A. Efros,et al. Unsupervised Visual Representation Learning by Context Prediction , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[33] Jure Leskovec,et al. node2vec: Scalable Feature Learning for Networks , 2016, KDD.