node2vec: Scalable Feature Learning for Networks

3 July 2016

Papers citing "node2vec: Scalable Feature Learning for Networks"

29 / 2,729 papers shown

Title
struc2vec: Learning Node Representations from Structural Identity Leonardo F. R. Ribeiro Pedro H. P. Saverese Daniel R. Figueiredo 239 1,189 0 11 Apr 2017
Word Embeddings via Tensor Factorization Eric Bailey Shuchin Aeron 110 8 0 10 Apr 2017
The Relative Performance of Ensemble Methods with Deep Convolutional Neural Networks for Image Classification Cheng Ju Aurélien F. Bibaut Mark van der Laan UQCV 142 369 0 05 Apr 2017
Semi-supervised Embedding in Attributed Networks with Outliers Jiongqian Liang Peter Jacobs Jiankai Sun Srinivasan Parthasarathy BDL 85 111 0 23 Mar 2017
Classification in biological networks with hypergraphlet kernels Jose Lugo-Martinez P. Radivojac 91 27 0 14 Mar 2017
Neural Graph Machines: Learning Neural Networks Using Graphs T. Bui Sujith Ravi Vivek Ramavajjala GNN 78 29 0 14 Mar 2017
Bootstrapped Graph Diffusions: Exposing the Power of Nonlinearity Eliav Buchnik E. Cohen 93 22 0 07 Mar 2017
Model-Independent Online Learning for Influence Maximization Sharan Vaswani Branislav Kveton Zheng Wen Mohammad Ghavamzadeh L. Lakshmanan Mark Schmidt 65 15 0 01 Mar 2017
Distributed Representation of Subgraphs B. Adhikari Yao Zhang Naren Ramakrishnan B. Prakash GNN 51 9 0 22 Feb 2017
Distributed Representations of Signed Networks Mohammad Raihanul Islam B. Prakash Naren Ramakrishnan GNN 100 60 0 22 Feb 2017
soc2seq: Social Embedding meets Conversation Model Parminder Bhatia Marsal Gavaldà Arash Einolghozati 85 8 0 17 Feb 2017
Name Disambiguation in Anonymized Graphs using Network Embedding Baichuan Zhang M. Hasan 113 108 0 08 Feb 2017
On Spectral Analysis of Directed Signed Graphs Yuemeng Li Xintao Wu Aidong Lu 120 10 0 23 Dec 2016
Graph Summarization Methods and Applications: A Survey Yike Liu Tara Safavi A. Dighe Danai Koutra 124 143 0 14 Dec 2016
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 779 1,846 0 25 Nov 2016
GRAM: Graph-based Attention Model for Healthcare Representation Learning Edward Choi M. T. Bahadori Le Song Walter F. Stewart Jimeng Sun GNN 153 697 0 21 Nov 2016
Correlation Clustering with Low-Rank Matrices Nate Veldt Anthony Wirth D. Gleich 90 13 0 21 Nov 2016
Learning From Graph Neighborhoods Using LSTMs Rakshit Agrawal Luca de Alfaro Vassilis Polychronopoulos GNN 103 7 0 21 Nov 2016
Variational Graph Auto-Encoders Thomas Kipf Max Welling GNN BDL SSL CML 282 3,746 0 21 Nov 2016
DeepCas: an End-to-end Predictor of Information Cascades Cheng Li Jiaqi Ma Xiaoxiao Guo Qiaozhu Mei GNN 119 338 0 16 Nov 2016
Node Embedding via Word Embedding for Network Community Discovery Weicong Ding Christy Lin Prakash Ishwar 108 17 0 09 Nov 2016
From Node Embedding To Community Embedding V. Zheng Sandro Cavallari Hongyun Cai Kevin Chen-Chuan Chang Min Zhang GNN 113 34 0 31 Oct 2016
Dis-S2V: Discourse Informed Sen2Vec T. K. Saha Shafiq Joty Naeemul Hassan M. Hasan DRL 89 4 0 25 Oct 2016
DeepGraph: Graph Structure Predicts Network Growth Cheng Li Xiaoxiao Guo Qiaozhu Mei GNN 86 17 0 20 Oct 2016
A General Framework for Content-enhanced Network Representation Learning Xiaofei Sun Jiang Guo Xiao Ding Ting Liu GNN 3DV 146 90 0 10 Oct 2016
ICE: Information Credibility Evaluation on Social Media via Representation Learning Qiang Liu Shu Wu Feng Yu Liang Wang Tieniu Tan 51 8 0 29 Sep 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 1.2K 30,343 0 09 Sep 2016
subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs A. Narayanan Mahinthan Chandramohan Lihui Chen Yang Liu S. Saminathan GNN 112 157 0 29 Jun 2016
Semi-Supervised Learning on Graphs through Reach and Distance Diffusion E. Cohen 89 5 0 30 Mar 2016