DeepWalk: Online Learning of Social Representations

26 March 2014

Steven Skiena

Papers citing "DeepWalk: Online Learning of Social Representations"

50 / 2,442 papers shown

Title
Attacking Graph-based Classification via Manipulating the Graph Structure Binghui Wang Neil Zhenqiang Gong AAML 41 155 0 01 Mar 2019
Representation Learning for Recommender Systems with Application to the Scientific Literature Robin Brochier 19 5 0 28 Feb 2019
Link Prediction with Mutual Attention for Text-Attributed Networks Robin Brochier Adrien Guille Julien Velcin 22 12 0 28 Feb 2019
Virtual Adversarial Training on Graph Convolutional Networks in Node Classification Ke Sun Zhouchen Lin Hantao Guo Zhanxing Zhu 34 24 0 28 Feb 2019
Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labels Ke Sun Zhouchen Lin Zhanxing Zhu SSL 53 272 0 28 Feb 2019
Global Vectors for Node Representations Robin Brochier Adrien Guille Julien Velcin 19 50 0 28 Feb 2019
Deep learning in bioinformatics: introduction, application, and perspective in big data era Yu Li Chao Huang Lizhong Ding Zhongxiao Li Yijie Pan Xin Gao AI4CE 29 295 0 28 Feb 2019
Representation Learning with Weighted Inner Product for Universal Approximation of General Similarities Geewook Kim Akifumi Okuno Kazuki Fukui Hidetoshi Shimodaira 31 9 0 27 Feb 2019
Deep Adversarial Network Alignment Tyler Derr Hamid Karimi Xiaorui Liu Jiejun Xu Jiliang Tang FedML GAN 13 48 0 27 Feb 2019
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs A. Pareja Giacomo Domeniconi Jie Chen Tengfei Ma Toyotaro Suzumura H. Kanezashi Tim Kaler Tao B. Schardl Charles E. Leisersen GNN 52 1,043 0 26 Feb 2019
GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks Ziyao Li Liang Zhang Guojie Song 16 17 0 26 Feb 2019
Multi-Label Network Classification via Weighted Personalized Factorizations Ahmed Rashed Josif Grabocka Lars Schmidt-Thieme 17 2 0 25 Feb 2019
Batch Virtual Adversarial Training for Graph Convolutional Networks Zhijie Deng Yinpeng Dong Jun Zhu GNN 28 63 0 25 Feb 2019
A Degeneracy Framework for Scalable Graph Autoencoders Guillaume Salha-Galvan Romain Hennequin Viet-Anh Tran Michalis Vazirgiannis GNN 34 36 0 23 Feb 2019
Leveraging Deep Graph-Based Text Representation for Sentiment Polarity Applications Kayvan Bijari Hadi Zare Emad Kebriaei H. Veisi 4 38 0 23 Feb 2019
Deep Learning Approach on Information Diffusion in Heterogeneous Networks Soheila Molaei Hadi Zare H. Veisi 16 48 0 23 Feb 2019
AliGraph: A Comprehensive Graph Neural Network Platform Rong Zhu Kun Zhao Hongxia Yang Wei Lin Chang Zhou Baole Ai Yong Li Jingren Zhou GNN 39 386 0 23 Feb 2019
Robust Graph Embedding with Noisy Link Weights Akifumi Okuno Hidetoshi Shimodaira NoLa 19 7 0 22 Feb 2019
Adversarial Attacks on Graph Neural Networks via Meta Learning Daniel Zügner Stephan Günnemann OOD AAML GNN 28 568 0 22 Feb 2019
E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction Jinyin Chen Jian Zhang Xuanheng Xu Chenbo Fu Dan Zhang Qingpeng Zhang Qi Xuan 36 142 0 22 Feb 2019
Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks Zeyu Cui Zekun Li Shu Wu Xiaoyu Zhang Liang Wang 37 101 0 21 Feb 2019
STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks Shuochao Yao Ailing Piao Wenjun Jiang Yiran Zhao Huajie Shao ... Tianshi Wang Shaohan Hu Lu Su Jiawei Han Tarek Abdelzaher AI4TS 38 78 0 21 Feb 2019
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure Fuli Feng Xiangnan He Jie Tang Tat-Seng Chua OOD AAML 34 219 0 20 Feb 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 86 3,122 0 19 Feb 2019
Learning Topological Representation for Networks via Hierarchical Sampling Guoji Fu Chengbin Hou Xin Yao AI4TS 13 26 0 15 Feb 2019
Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification Fenyu Hu Yanqiao Zhu Shu Wu Liang Wang Tieniu Tan GNN 20 7 0 13 Feb 2019
Using Embeddings to Correct for Unobserved Confounding in Networks Victor Veitch Yixin Wang David M. Blei CML 23 56 0 11 Feb 2019
Deep Node Ranking for Neuro-symbolic Structural Node Embedding and Classification Blaž Škrlj Jan Kralj Janez Konc Marko Robnik-Šikonja Nada Lavrac GNN BDL 35 3 0 11 Feb 2019
Covariance and Correlation Kernels on a Graph in the Generalized Bag-of-Paths Formalism Guillaume Guex Sylvain Courtain M. Saerens 14 3 0 08 Feb 2019
Heterogeneous Edge Embeddings for Friend Recommendation Janu Verma Srishti Gupta Debdoot Mukherjee Tanmoy Chakraborty 31 6 0 07 Feb 2019
Word Embeddings for Entity-annotated Texts Satya Almasian Andreas Spitz Michael Gertz 19 7 0 06 Feb 2019
Multi-GCN: Graph Convolutional Networks for Multi-View Networks, with Applications to Global Poverty Muhammad Raza Khan J. Blumenstock 19 78 0 31 Jan 2019
HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding Sheng Zhou Jiajun Bu Xin Eric Wang Jiawei Chen Can Wang 34 24 0 31 Jan 2019
Representation Learning for Heterogeneous Information Networks via Embedding Events Guoji Fu Bo Yuan Qiqi Duan Xin Yao 24 20 0 29 Jan 2019
Label Efficient Semi-Supervised Learning via Graph Filtering Qimai Li Xiao-Ming Wu Han Liu Xiaotong Zhang Zhichao Guan 29 163 0 28 Jan 2019
Diffusion Variational Autoencoders Luis A. Pérez Rey Vlado Menkovski Jacobus W. Portegies DiffM BDL DRL 29 62 0 25 Jan 2019
Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back M. Simonovsky BDL GNN 34 1 0 24 Jan 2019
Confidence-based Graph Convolutional Networks for Semi-Supervised Learning Shikhar Vashishth Prateek Yadav Manik Bhandari Partha P. Talukdar GNN 33 40 0 24 Jan 2019
Hypergraph Convolution and Hypergraph Attention S. Bai Feihu Zhang Philip Torr GNN 31 613 0 23 Jan 2019
CommunityGAN: Community Detection with Generative Adversarial Nets Yuting Jia Qinqin Zhang Weinan Zhang Xinbing Wang GNN GAN 32 115 0 20 Jan 2019
Gromov-Wasserstein Learning for Graph Matching and Node Embedding Hongteng Xu Dixin Luo H. Zha Lawrence Carin 30 255 0 17 Jan 2019
Learning Vertex Representations for Bipartite Networks Ming Gao Xiangnan He Leihui Chen Tingting Liu Jinglin Zhang Aoying Zhou 22 23 0 16 Jan 2019
Micro- and Macro-Level Churn Analysis of Large-Scale Mobile Games Xi Liu Muhe Xie Xidao Wen Rui Chen Yong Ge N. Duffield Na Wang 21 19 0 14 Jan 2019
Search Efficient Binary Network Embedding Daokun Zhang Jie Yin Xingquan Zhu Chengqi Zhang 24 3 0 14 Jan 2019
Attributed Network Embedding via Subspace Discovery Daokun Zhang Jie Yin Xingquan Zhu Chengqi Zhang 38 48 0 14 Jan 2019
Predicting Diffusion Reach Probabilities via Representation Learning on Social Networks Furkan Gursoy Ahmet Onur Durahim DiffM GNN 16 1 0 12 Jan 2019
Deep Network Embedding for Graph Representation Learning in Signed Networks X. Shen F. Chung GNN 20 88 0 07 Jan 2019
Vector representations of text data in deep learning Karol Grzegorczyk 24 12 0 07 Jan 2019
Efficient Representation Learning Using Random Walks for Dynamic Graphs Hooman Peiro Sajjad Andrew Docherty Y. Tyshetskiy 27 27 0 05 Jan 2019
Graph Neural Networks with convolutional ARMA filters F. Bianchi Daniele Grattarola L. Livi Cesare Alippi GNN 27 388 0 05 Jan 2019