node2vec: Scalable Feature Learning for Networks

3 July 2016

Papers citing "node2vec: Scalable Feature Learning for Networks"

50 / 2,628 papers shown

Title
DDGK: Learning Graph Representations for Deep Divergence Graph Kernels Rami Al-Rfou Dustin Zelle Bryan Perozzi 59 57 0 21 Apr 2019
Tag2Vec: Learning Tag Representations in Tag Networks Junshan Wang Zhicong Lu Guojie Song Yue Fan Lun Du Wei Lin 3DV 86 19 0 19 Apr 2019
Multi-task Learning for Influence Estimation and Maximization G. Panagopoulos Fragkiskos D. Malliaros Michalis Vazirgiannis 54 3 0 18 Apr 2019
Deep Representation Learning for Social Network Analysis Qiaoyu Tan Ninghao Liu Helen Zhou AI4TS GNN 69 107 0 18 Apr 2019
Compositional Network Embedding Tianshu Lyu Fei Sun Peng Jiang Wenwu Ou Yan Zhang 41 0 0 17 Apr 2019
Residual or Gate? Towards Deeper Graph Neural Networks for Inductive Graph Representation Learning Binxuan Huang Kathleen M. Carley GNN 59 8 0 17 Apr 2019
Dynamic Node Embeddings from Edge Streams J. B. Lee G. Nguyen Ryan A. Rossi Nesreen Ahmed Eunyee Koh Sungchul Kim AI4TS 78 6 0 12 Apr 2019
Text2Node: a Cross-Domain System for Mapping Arbitrary Phrases to a Taxonomy Rohollah Soltani A. Tomberg 26 1 0 11 Apr 2019
Topological based classification of paper domains using graph convolutional networks I. Benami Keren Cohen Oved Nagar Y. Louzoun GNN 41 5 0 10 Apr 2019
Neuralogram: A Deep Neural Network Based Representation for Audio Signals Prateek Verma C. Chafe J. Berger AI4TS 20 9 0 10 Apr 2019
Semi-Supervised Graph Classification: A Hierarchical Graph Perspective Jia Li Yu Rong Hong Cheng Helen Meng Wen-bing Huang Junzhou Huang 51 152 0 10 Apr 2019
Context-Aware Embeddings for Automatic Art Analysis Noa Garcia B. Renoust Yuta Nakashima 47 52 0 10 Apr 2019
Characterizing the impact of geometric properties of word embeddings on task performance Brendan Whitaker Denis R. Newman-Griffis Aparajita Haldar Hakan Ferhatosmanoglu Eric Fosler-Lussier 40 5 0 09 Apr 2019
FILDNE: A Framework for Incremental Learning of Dynamic Networks Embeddings Piotr Bielak Kamil Tagowski Maciej Falkiewicz Tomasz Kajdanowicz Nitesh Chawla GNN 13 1 0 06 Apr 2019
Learning Backtrackless Aligned-Spatial Graph Convolutional Networks for Graph Classification Lu Bai Lixin Cui Yuhang Jiao Luca Rossi Edwin R. Hancock GNN 60 58 0 06 Apr 2019
Generating Knowledge Graph Paths from Textual Definitions using Sequence-to-Sequence Models Victor Prokhorov Mohammad Taher Pilehvar Nigel Collier 60 8 0 05 Apr 2019
Abusive Language Detection with Graph Convolutional Networks Pushkar Mishra Marco Del Tredici H. Yannakoudakis Ekaterina Shutova GNN 73 79 0 05 Apr 2019
Community detection over a heterogeneous population of non-aligned networks Guilherme C. M. Gomes Vinayak A. Rao Jennifer Neville 58 1 0 04 Apr 2019
Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity Yunsheng Bai Haoyang Ding Yang Qiao Agustin Marinovic Ken Gu Tingting Chen Yizhou Sun Wei Wang 129 10 0 01 Apr 2019
Learning Combinatorial Embedding Networks for Deep Graph Matching Runzhong Wang Junchi Yan Xiaokang Yang 78 239 0 01 Apr 2019
Multimodal Deep Network Embedding with Integrated Structure and Attribute Information Conghui Zheng Li Pan Peng Wu 62 22 0 28 Mar 2019
On the Theory of Dynamic Graph Regression Problem Mostafa Haghir Chehreghani 39 3 0 26 Mar 2019
Subgraph Networks with Application to Structural Feature Space Expansion Qi Xuan Jinhuan Wang M. Zhao Junkun Yuan Chenbo Fu Zhongyuan Ruan Guanrong Chen 95 60 0 21 Mar 2019
Node Embedding over Temporal Graphs Uriel Singer Ido Guy Kira Radinsky 94 155 0 21 Mar 2019
Column2Vec: Structural Understanding via Distributed Representations of Database Schemas Michael J. Mior Alexander Ororbia 36 2 0 20 Mar 2019
A Comparative Study for Unsupervised Network Representation Learning Megha Khosla Vinay Setty Avishek Anand SSL 105 54 0 19 Mar 2019
Extrapolating paths with graph neural networks Jean-Baptiste Cordonnier Andreas Loukas GNN 57 17 0 18 Mar 2019
Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection Jia-Xing Zhong Nannan Li Weijie Kong Shan Liu Thomas H. Li Ge Li NoLa SSL 135 414 0 18 Mar 2019
Knowledge-aware Complementary Product Representation Learning Da Xu Chuanwei Ruan Jason H. D. Cho Evren Körpeoglu Sushant Kumar Kannan Achan DML 100 26 0 16 Mar 2019
Learning Edge Properties in Graphs from Path Aggregations Rakshit Agrawal Luca de Alfaro GNN FedML 48 6 0 11 Mar 2019
Fisher-Bures Adversary Graph Convolutional Networks Ke Sun Piotr Koniusz Zhen Wang GNN 72 34 0 11 Mar 2019
Jointly Learning Explainable Rules for Recommendation with Knowledge Graph Weizhi Ma Min Zhang Yue Cao Woojeong Jin Jin Chenyang Wang Yiqun Liu Shaoping Ma Xiang Ren 81 220 0 09 Mar 2019
Multi-Hot Compact Network Embedding Chaozhuo Li Senzhang Wang Philip S. Yu Zhoujun Li 32 8 0 07 Mar 2019
Generative Graph Convolutional Network for Growing Graphs Da Xu Chuanwei Ruan Kamiya Motwani Evren Körpeoglu Sushant Kumar Kannan Achan GNN 58 14 0 06 Mar 2019
Graph Neural Networks for User Identity Linkage Wen Zhang Kai Shu Huan Liu Yalin Wang 68 33 0 06 Mar 2019
Empirical effect of graph embeddings on fraud detection/ risk mitigation Sida Zhou 34 2 0 05 Mar 2019
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding Zhaocheng Zhu Shizhen Xu Meng Qu Jian Tang GNN 124 117 0 02 Mar 2019
Attacking Graph-based Classification via Manipulating the Graph Structure Binghui Wang Neil Zhenqiang Gong AAML 121 156 0 01 Mar 2019
Representation Learning for Recommender Systems with Application to the Scientific Literature Robin Brochier 38 5 0 28 Feb 2019
Virtual Adversarial Training on Graph Convolutional Networks in Node Classification Ke Sun Zhouchen Lin Hantao Guo Zhanxing Zhu 97 25 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 131 276 0 28 Feb 2019
Global Vectors for Node Representations Robin Brochier Adrien Guille Julien Velcin 43 52 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 103 302 0 28 Feb 2019
Deep Adversarial Network Alignment Hanyu Wang Hamid Karimi Xiaorui Liu Jiejun Xu Jiliang Tang FedML GAN 69 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 151 1,095 0 26 Feb 2019
GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks Ziyao Li Liang Zhang Guojie Song 56 17 0 26 Feb 2019
Multi-Label Network Classification via Weighted Personalized Factorizations Ahmed Rashed Josif Grabocka Lars Schmidt-Thieme 32 2 0 25 Feb 2019
Batch Virtual Adversarial Training for Graph Convolutional Networks Zhijie Deng Yinpeng Dong Jun Zhu GNN 113 64 0 25 Feb 2019
A Degeneracy Framework for Scalable Graph Autoencoders Guillaume Salha-Galvan Romain Hennequin Viet-Anh Tran Michalis Vazirgiannis GNN 151 37 0 23 Feb 2019
Leveraging Deep Graph-Based Text Representation for Sentiment Polarity Applications Kayvan Bijari Hadi Zare Emad Kebriaei H. Veisi 71 38 0 23 Feb 2019