node2vec: Scalable Feature Learning for Networks

3 July 2016

Papers citing "node2vec: Scalable Feature Learning for Networks"

50 / 1,036 papers shown

Title
Leveraging Trust and Distrust in Recommender Systems via Deep Learning Dimitrios Rafailidis FedML 14 0 0 31 May 2019
MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network Hao Wang Tong Xu Qi Liu Defu Lian Enhong Chen Dongfang Du Han Wu Wen Su 21 114 0 27 May 2019
Compositional Fairness Constraints for Graph Embeddings A. Bose William L. Hamilton FaML 33 256 0 25 May 2019
Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding Ninghao Liu Qiaoyu Tan Yuening Li Hongxia Yang Jingren Zhou Xia Hu 30 86 0 25 May 2019
Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach Changjun Fan Li Zeng Yuhui Ding Muhao Chen Yizhou Sun Zhong Liu GNN 30 66 0 24 May 2019
Conditional t-SNE: Complementary t-SNE embeddings through factoring out prior information Bo Kang Dario Garcia-Garcia Jefrey Lijffijt Raúl Santos-Rodríguez T. D. Bie 22 4 0 24 May 2019
Meta-GNN: On Few-shot Node Classification in Graph Meta-learning Fan Zhou Chengtai Cao Kunpeng Zhang Goce Trajcevski Ting Zhong Ji Geng 24 226 0 23 May 2019
Simulation and Augmentation of Social Networks for Building Deep Learning Models Akanda Wahid-Ul-Ashraf M. Budka Katarzyna Musial GNN 39 10 0 22 May 2019
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching Hongteng Xu Dixin Luo Lawrence Carin 23 191 0 18 May 2019
GMNN: Graph Markov Neural Networks Meng Qu Yoshua Bengio Jian Tang BDL GNN 22 288 0 15 May 2019
Relation Structure-Aware Heterogeneous Information Network Embedding Yuanfu Lu C. Shi Linmei Hu Zhiyuan Liu 22 125 0 15 May 2019
Language in Our Time: An Empirical Analysis of Hashtags Yang Zhang 23 26 0 11 May 2019
Is a Single Embedding Enough? Learning Node Representations that Capture Multiple Social Contexts Alessandro Epasto Bryan Perozzi 30 103 0 06 May 2019
Representation Learning for Attributed Multiplex Heterogeneous Network Yukuo Cen Xu Zou Jianwei Zhang Hongxia Yang Jingren Zhou Jie Tang GNN 29 428 0 05 May 2019
PAN: Path Integral Based Convolution for Deep Graph Neural Networks Zheng Ma Ming Li Yuguang Wang GNN 24 24 0 24 Apr 2019
Deep Representation Learning for Social Network Analysis Qiaoyu Tan Ninghao Liu Xia Hu AI4TS GNN 27 100 0 18 Apr 2019
Generating Knowledge Graph Paths from Textual Definitions using Sequence-to-Sequence Models Victor Prokhorov Mohammad Taher Pilehvar Nigel Collier 17 7 0 05 Apr 2019
Multimodal Deep Network Embedding with Integrated Structure and Attribute Information Conghui Zheng Li Pan Peng Wu 23 22 0 28 Mar 2019
Node Embedding over Temporal Graphs Uriel Singer Ido Guy Kira Radinsky 19 149 0 21 Mar 2019
Column2Vec: Structural Understanding via Distributed Representations of Database Schemas Michael J. Mior Alexander Ororbia 24 2 0 20 Mar 2019
A Comparative Study for Unsupervised Network Representation Learning Megha Khosla Vinay Setty Avishek Anand SSL 26 54 0 19 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 24 397 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 33 26 0 16 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 27 214 0 09 Mar 2019
Empirical effect of graph embeddings on fraud detection/ risk mitigation Sida Zhou 19 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 19 112 0 02 Mar 2019
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
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
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
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
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
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
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
Graph Neural Networks for Social Recommendation Wenqi Fan Yao Ma Qing Li Yuan He Yue Zhao Jiliang Tang Dawei Yin 87 1,861 0 19 Feb 2019
Author Profiling for Hate Speech Detection Pushkar Mishra Marco Del Tredici H. Yannakoudakis Ekaterina Shutova 27 17 0 14 Feb 2019
Link Prediction via Higher-Order Motif Features Ghadeer Abuoda G. D. F. Morales Ashraf Aboulnaga 27 37 0 08 Feb 2019
tax2vec: Constructing Interpretable Features from Taxonomies for Short Text Classification Blaž Škrlj Matej Martinc Jan Kralj Nada Lavrac Senja Pollak 27 44 0 01 Feb 2019
Representation Learning for Heterogeneous Information Networks via Embedding Events Guoji Fu Bo Yuan Qiqi Duan Xin Yao 24 20 0 29 Jan 2019
Neural Related Work Summarization with a Joint Context-driven Attention Mechanism Yongzhen Wang Xiaozhong Liu Zheng Gao AI4TS 21 22 0 28 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
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