node2vec: Scalable Feature Learning for Networks

3 July 2016

Papers citing "node2vec: Scalable Feature Learning for Networks"

50 / 1,086 papers shown

Title
LanczosNet: Multi-Scale Deep Graph Convolutional Networks Renjie Liao Zhizhen Zhao R. Urtasun R. Zemel GNN 25 227 0 06 Jan 2019
Learning Graph Embedding with Adversarial Training Methods Shirui Pan Ruiqi Hu S. Fung Guodong Long Jing Jiang Chengqi Zhang GNN GAN 27 283 0 04 Jan 2019
Cross-language Citation Recommendation via Hierarchical Representation Learning on Heterogeneous Graph Zhuoren Jiang Yue Yin Liangcai Gao Yao Lu Xiaozhong Liu 19 50 0 31 Dec 2018
Dynamic Graph Representation Learning via Self-Attention Networks Aravind Sankar Yanhong Wu Liang Gou Wei Zhang Hao Yang GNN 43 119 0 22 Dec 2018
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 84 5,433 0 20 Dec 2018
Learning Features of Network Structures Using Graphlets Kun Tu Jian Li Don Towsley Dave Braines Liam D. Turner GNN 20 2 0 13 Dec 2018
Improved Knowledge Graph Embedding using Background Taxonomic Information Bahare Fatemi Siamak Ravanbakhsh David Poole 33 39 0 07 Dec 2018
Graph-based Security and Privacy Analytics via Collective Classification with Joint Weight Learning and Propagation Willem Blokland Jinyuan Jia Kishansingh Rajput 21 52 0 04 Dec 2018
Online Graph-Adaptive Learning with Scalability and Privacy Yanning Shen G. Leus G. Giannakis 35 32 0 03 Dec 2018
Graph Node-Feature Convolution for Representation Learning Li Zhang Heda Song Nikolaos Aletras Haiping Lu GNN SSL 20 13 0 30 Nov 2018
The Graph-Based Behavior-Aware Recommendation for Interactive News Mingyuan Ma Sen Na Hongyu Wang Congzhou Chen Jin Xu 17 19 0 30 Nov 2018
Adversarial Classifier for Imbalanced Problems Ehsan Montahaei Mahsa Ghorbani M. Baghshah Hamid R. Rabiee 30 12 0 21 Nov 2018
Role action embeddings: scalable representation of network positions George Berry GNN 21 2 0 19 Nov 2018
Outlier Aware Network Embedding for Attributed Networks S. Bandyopadhyay N. Lokesh M. Murty 37 92 0 19 Nov 2018
SepNE: Bringing Separability to Network Embedding Ziyao Li Liang Zhang Guojie Song GNN 28 13 0 14 Nov 2018
Session-based Recommendation with Graph Neural Networks Shu Wu Yuyuan Tang Yanqiao Zhu Liang Wang Xing Xie Tieniu Tan GNN 16 1,545 0 01 Nov 2018
Attack Graph Convolutional Networks by Adding Fake Nodes Xiaoyun Wang Minhao Cheng Joe Eaton Cho-Jui Hsieh S. F. Wu AAML GNN 33 78 0 25 Oct 2018
Node Representation Learning for Directed Graphs Megha Khosla Jurek Leonhardt Wolfgang Nejdl Avishek Anand 29 55 0 22 Oct 2018
TNE: A Latent Model for Representation Learning on Networks Abdulkadir Çelikkanat Fragkiskos D. Malliaros 22 3 0 16 Oct 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 129 1,662 0 14 Oct 2018
Embedding Geographic Locations for Modelling the Natural Environment using Flickr Tags and Structured Data Shelan S. Jeawak Christopher B. Jones Steven Schockaert 31 11 0 12 Oct 2018
Systematic Biases in Link Prediction: comparing heuristic and graph embedding based methods Aakash Sinha Rémy Cazabet Rémi Vaudaine 16 9 0 11 Oct 2018
Dual Convolutional Neural Network for Graph of Graphs Link Prediction Shonosuke Harada Hirotaka Akita Masashi Tsubaki Yukino Baba Ichigaku Takigawa Yoshihiro Yamanishi H. Kashima GNN AI4CE 24 9 0 04 Oct 2018
A Survey of Learning Causality with Data: Problems and Methods Ruocheng Guo Lu Cheng Jundong Li P. R. Hahn Huan Liu CML 42 169 0 25 Sep 2018
Improved Deep Embeddings for Inferencing with Multi-Layered Networks Huan Song Jayaraman J. Thiagarajan 78 2 0 20 Sep 2018
apk2vec: Semi-supervised multi-view representation learning for profiling Android applications A. Narayanan C. Soh Lihui Chen Yang Liu Lipo Wang SSL 22 26 0 15 Sep 2018
Adaptive Sampling Towards Fast Graph Representation Learning Wen-bing Huang Tong Zhang Yu Rong Junzhou Huang GNN 22 488 0 14 Sep 2018
Bayesian Semi-supervised Learning with Graph Gaussian Processes Yin Cheng Ng Nicolo Colombo Ricardo M. A. Silva BDL 30 89 0 12 Sep 2018
Multi-view Models for Political Ideology Detection of News Articles Vivek Kulkarni Junting Ye Steven Skiena William Yang Wang 25 71 0 10 Sep 2018
Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment Dinghan Shen Xinyuan Zhang Ricardo Henao Lawrence Carin AI4TS 22 25 0 29 Aug 2018
Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation Jundong Li Liang Wu Huan Liu 16 35 0 26 Aug 2018
FinBrain: When Finance Meets AI 2.0 Xiaolin Zheng Mengying Zhu Qibing Li Chaochao Chen Yanchao Tan AIFin 34 53 0 26 Aug 2018
A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games Xi Liu Muhe Xie Xidao Wen Rui Chen Yong Ge N. Duffield Na Wang 24 43 0 20 Aug 2018
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation Yunsheng Bai Haoyang Ding Song Bian Ting-Li Chen Yizhou Sun Wei Wang GNN 21 316 0 16 Aug 2018
Learning Graph Embeddings from WordNet-based Similarity Measures Andrey Kutuzov M. Dorgham Oleksiy Oliynyk Chris Biemann Alexander Panchenko GNN 21 17 0 16 Aug 2018
Large-Scale Learnable Graph Convolutional Networks Hongyang Gao Zhengyang Wang Shuiwang Ji GNN 33 590 0 12 Aug 2018
DeepInf: Social Influence Prediction with Deep Learning J. Qiu Jian Tang Hao Ma Yuxiao Dong Kuansan Wang Jie Tang GNN AI4CE 13 537 0 15 Jul 2018
Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks Yu Shi Qi Zhu Fang Guo Chao Zhang Jiawei Han 21 118 0 10 Jul 2018
Jointly Embedding Entities and Text with Distant Supervision Denis R. Newman-Griffis A. Lai Eric Fosler-Lussier 40 30 0 09 Jul 2018
N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules Shengchao Liu M. F. Demirel Yingyu Liang GNN NAI 18 192 0 24 Jun 2018
Learning Policy Representations in Multiagent Systems Aditya Grover Maruan Al-Shedivat Jayesh K. Gupta Yuri Burda Harrison Edwards AI4CE 29 122 0 17 Jun 2018
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 284 1,956 0 09 Jun 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton J. Leskovec GNN BDL 129 3,497 0 06 Jun 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 126 3,088 0 04 Jun 2018
On representation power of neural network-based graph embedding and beyond Akifumi Okuno Hidetoshi Shimodaira 21 2 0 31 May 2018
GESF: A Universal Discriminative Mapping Mechanism for Graph Representation Learning Shupeng Gui Xiangliang Zhang Shuang Qiu Mingrui Wu Jieping Ye Ji Liu 19 0 0 28 May 2018
Legal Document Retrieval using Document Vector Embeddings and Deep Learning Keet Sugathadasa Buddhi Ayesha Nisansa de Silva A. Perera Vindula Jayawardana Dimuthu Lakmal M. Perera AILaw 27 78 0 27 May 2018
Adversarial Attacks on Neural Networks for Graph Data Daniel Zügner Amir Akbarnejad Stephan Günnemann GNN AAML OOD 37 1,060 0 21 May 2018
Generalizing Point Embeddings using the Wasserstein Space of Elliptical Distributions Boris Muzellec Marco Cuturi 36 78 0 19 May 2018
Conditional Network Embeddings Bo Kang Jefrey Lijffijt T. D. Bie 22 44 0 19 May 2018