node2vec: Scalable Feature Learning for Networks

3 July 2016

Papers citing "node2vec: Scalable Feature Learning for Networks"

50 / 1,041 papers shown

Title
Disentangling Interpretable Generative Parameters of Random and Real-World Graphs Niklas Stoehr Emine Yilmaz Marc Brockschmidt Jan Stuehmer BDL CML DRL 32 14 0 12 Oct 2019
Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction Zekun Li Zeyu Cui Shu Wu Xiaoyu Zhang Liang Wang GNN 22 216 0 12 Oct 2019
Learning Invariant Representations of Social Media Users Nicholas Andrews M. Bishop 28 35 0 11 Oct 2019
Link Prediction via Graph Attention Network Weiwei Gu Fei Gao Xiaodan Lou Jiang Zhang GNN HAI 19 14 0 10 Oct 2019
Graph Few-shot Learning via Knowledge Transfer Huaxiu Yao Chuxu Zhang Ying Wei Meng Jiang Suhang Wang Junzhou Huang Nitesh Chawla Z. Li 56 162 0 07 Oct 2019
Deep Hyperedges: a Framework for Transductive and Inductive Learning on Hypergraphs Josh Payne GNN 30 24 0 07 Oct 2019
Representation Learning of EHR Data via Graph-Based Medical Entity Embedding Tong Wu Yunlong Wang Yue Wang E. Zhao Yilian Yuan Zhi Yang AI4TS 23 15 0 07 Oct 2019
Rethinking Kernel Methods for Node Representation Learning on Graphs Yu Tian Long Zhao Xi Peng Dimitris N. Metaxas 34 23 0 06 Oct 2019
GraphZoom: A multi-level spectral approach for accurate and scalable graph embedding Chenhui Deng Zhiqiang Zhao Yongyu Wang Zhiru Zhang Zhuo Feng 38 106 0 06 Oct 2019
Learning Robust Representations with Graph Denoising Policy Network Lu Wang Wenchao Yu Wei Wang Wei Cheng Wei Zhang H. Zha Xiaofeng He Haifeng Chen OOD 14 26 0 04 Oct 2019
Graph Analysis and Graph Pooling in the Spatial Domain M. Rahmani M. Liakata GNN 42 3 0 03 Oct 2019
On the Equivalence between Positional Node Embeddings and Structural Graph Representations Balasubramaniam Srinivasan Bruno Ribeiro 19 27 0 01 Oct 2019
I Know You'll Be Back: Interpretable New User Clustering and Churn Prediction on a Mobile Social Application Carl Yang Xiaolin Shi Luo Jie Jiawei Han HAI 30 82 0 29 Sep 2019
Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights Carl Yang Yichen Feng Pan Li Yu Shi Jiawei Han 11 42 0 29 Sep 2019
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 148 840 0 28 Sep 2019
Overlapping Community Detection with Graph Neural Networks Oleksandr Shchur Stephan Günnemann GNN 27 129 0 26 Sep 2019
MONET: Debiasing Graph Embeddings via the Metadata-Orthogonal Training Unit John Palowitch Bryan Perozzi 19 19 0 25 Sep 2019
ASU at TextGraphs 2019 Shared Task: Explanation ReGeneration using Language Models and Iterative Re-Ranking Pratyay Banerjee LRM 19 21 0 19 Sep 2019
Relaxed Softmax for learning from Positive and Unlabeled data Ugo Tanielian Flavian Vasile 18 9 0 17 Sep 2019
Historical and Modern Features for Buddha Statue Classification B. Renoust Matheus Oliveira Franca J. Chan Noa Garcia Van Le Ayaka Uesaka Yuta Nakashima Hajime Nagahara Jueren Wang Yutaka Fujioka 19 14 0 17 Sep 2019
Stacking Models for Nearly Optimal Link Prediction in Complex Networks Amir Ghasemian Homa Hosseinmardi Aram Galstyan E. Airoldi A. Clauset 28 128 0 17 Sep 2019
Temporal Network Embedding with Micro- and Macro-dynamics Yuanfu Lu Tianlin Li C. Shi Philip S. Yu Yanfang Ye AI4TS AI4CE 26 117 0 10 Sep 2019
Hypergraph Partitioning With Embeddings Justin Sybrandt Ruslan Shaydulin Ilya Safro 25 10 0 09 Sep 2019
HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding Yu He Yangqiu Song Jianxin Li Cheng Ji Jian Peng Hao Peng 19 111 0 07 Sep 2019
Auto-GNN: Neural Architecture Search of Graph Neural Networks Kaixiong Zhou Qingquan Song Xiao Huang Xia Hu GNN 61 178 0 07 Sep 2019
Context-aware Deep Model for Entity Recommendation in Search Engine at Alibaba Qianghuai Jia Ningyu Zhang Nengwei Hua 19 5 0 06 Sep 2019
Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Quanyu Dai Xiao-Ming Wu Jiaren Xiao Xiao Shen Dan Wang OOD 31 86 0 04 Sep 2019
Adversarial Training Methods for Network Embedding Quanyu Dai X. Shen Liang Zhang Qiang Li Dan Wang GAN 29 103 0 30 Aug 2019
Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks Yuting Ye Xuwu Wang Jiangchao Yao Kunyang Jia Jingren Zhou Yanghua Xiao Hongxia Yang BDL 23 26 0 28 Aug 2019
Variational Graph Recurrent Neural Networks Ehsan Hajiramezanali Arman Hasanzadeh N. Duffield Krishna R. Narayanan Mingyuan Zhou Xiaoning Qian BDL GNN 20 184 0 26 Aug 2019
Hyper-Path-Based Representation Learning for Hyper-Networks Jie Huang Xin Liu Yangqiu Song GNN 29 25 0 24 Aug 2019
On Proximity and Structural Role-based Embeddings in Networks: Misconceptions, Techniques, and Applications Ryan A. Rossi Di Jin Sungchul Kim Nesreen Ahmed Danai Koutra J. B. Lee 30 38 0 22 Aug 2019
motif2vec: Motif Aware Node Representation Learning for Heterogeneous Networks Manoj Reddy Dareddy Mahashweta Das Hao Yang 18 25 0 22 Aug 2019
A Kings Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation Amir Atapour-Abarghouei Stephen Bonner A. Mcgough 31 7 0 19 Aug 2019
Modeling Engagement Dynamics of Online Discussions using Relativistic Gravitational Theory Subhabrata Dutta Dipankar Das Tanmoy Chakraborty 38 3 0 10 Aug 2019
Graph Node Embeddings using Domain-Aware Biased Random Walks Sourav Mukherjee Tim Oates Ryan Wright 8 1 0 08 Aug 2019
Cross-domain Network Representations Shan Xue Jie Lu Guangquan Zhang 29 16 0 01 Aug 2019
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization Fan-Yun Sun Jordan Hoffmann Vikas Verma Jian Tang SSL 50 844 0 31 Jul 2019
Snomed2Vec: Random Walk and Poincaré Embeddings of a Clinical Knowledge Base for Healthcare Analytics Khushbu Agarwal T. Eftimov Raghavendra Addanki Sutanay Choudhury S. Tamang R. Rallo 31 22 0 19 Jul 2019
DeepTrax: Embedding Graphs of Financial Transactions C. Bayan Bruss Anish Khazane Jonathan Rider R. Serpe Antonia Gogoglou Keegan E. Hines AIFin GNN 32 43 0 16 Jul 2019
Mercem: Method Name Recommendation Based on Call Graph Embedding Hiroshi Yonai Yasuhiro Hayase H. Kitagawa 20 15 0 12 Jul 2019
Network Embedding: on Compression and Learning Esra Akbas M. E. Aktas GNN 21 9 0 05 Jul 2019
Unsupervised Adversarial Graph Alignment with Graph Embedding Chaoqi Chen Weiping Xie Tingyang Xu Yu Rong Wenbing Huang Xinghao Ding Yue Huang Junzhou Huang 22 15 0 01 Jul 2019
Signed Graph Attention Networks Junjie Huang Huawei Shen Liang Hou Xueqi Cheng GNN 27 117 0 26 Jun 2019
Dynamic Network Embeddings for Network Evolution Analysis Chuanchang Chen Y. Tao Hai Lin 32 7 0 24 Jun 2019
Predicting kills in Game of Thrones using network properties J. Stavanja Matej Klemen Lovro Šubelj 14 5 0 22 Jun 2019
DISCO: Influence Maximization Meets Network Embedding and Deep Learning Hui Li Mengting Xu S. Bhowmick Changsheng Sun Zhongyuan Jiang Jiangtao Cui BDL 30 25 0 18 Jun 2019
Making Fast Graph-based Algorithms with Graph Metric Embeddings Andrey Kutuzov M. Dorgham Oleksiy Oliynyk Chris Biemann Alexander Panchenko 15 6 0 17 Jun 2019
Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank Renchi Yang Jieming Shi Xiaokui Xiao Yifan Yang S. Bhowmick 30 65 0 17 Jun 2019
Utilizing Edge Features in Graph Neural Networks via Variational Information Maximization Pengfei Chen Weiwen Liu Chang-Yu Hsieh Guangyong Chen Shengyu Zhang 17 21 0 13 Jun 2019