DeepWalk: Online Learning of Social Representations

26 March 2014

Steven Skiena

Papers citing "DeepWalk: Online Learning of Social Representations"

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Title
CoKE: Contextualized Knowledge Graph Embedding Quan Wang Pingping Huang Haifeng Wang Songtai Dai Wenbin Jiang Jing Liu Yajuan Lyu Yong Zhu Hua Wu 27 85 0 06 Nov 2019
Online matrix factorization for Markovian data and applications to Network Dictionary Learning Hanbaek Lyu Deanna Needell Laura Balzano 42 26 0 05 Nov 2019
GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction Fenyu Hu Yanqiao Zhu Shu Wu Weiran Huang Liang Wang Tieniu Tan GNN 27 47 0 05 Nov 2019
Dynamic Graph Embedding via LSTM History Tracking Shima Khoshraftar Sedigheh Mahdavi Aijun An Yonggang Hu Junfeng Liu AI4TS GNN 4 8 0 05 Nov 2019
embComp: Visual Interactive Comparison of Vector Embeddings Florian Heimerl Christoph Kralj Torsten Moller Michael Gleicher 14 36 0 05 Nov 2019
Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders Carl Yang Jieyu Zhang Haonan Wang Sha Li M. Kim Matthew Walker Yiou Xiao Jiawei Han 21 43 0 04 Nov 2019
Attributed Sequence Embedding Zhongfang Zhuang Xiangnan Kong Elke A. Rundensteiner Jihane Zouaoui Aditya Arora 24 12 0 03 Nov 2019
Semi-supervisedly Co-embedding Attributed Networks Zaiqiao Meng Shangsong Liang Jinyuan Fang Teng Xiao GNN DRL 37 26 0 31 Oct 2019
Symbolic Graph Embedding using Frequent Pattern Mining Blaž Škrlj Jan Kralj Nada Lavrac 18 4 0 29 Oct 2019
Hyperbolic Node Embedding for Signed Networks Wenzhuo Song Hongxu Chen Xueyan Liu Hongzhe Jiang Sheng-sheng Wang 19 14 0 29 Oct 2019
Hyperbolic Graph Convolutional Neural Networks Ines Chami Rex Ying Christopher Ré J. Leskovec GNN 41 631 0 28 Oct 2019
Diffusion Improves Graph Learning Johannes Klicpera Stefan Weißenberger Stephan Günnemann GNN 73 687 0 28 Oct 2019
Pre-train and Learn: Preserve Global Information for Graph Neural Networks Danhao Zhu Xinyu Dai Jiajun Chen 21 23 0 27 Oct 2019
SoulMate: Short-text author linking through Multi-aspect temporal-textual embedding Saeed Najafipour Saeid Hosseini Wen Hua M. Kangavari Xiaofang Zhou 24 17 0 27 Oct 2019
Topological based classification using graph convolutional networks R. Abel I. Benami Y. Louzoun GNN 27 5 0 26 Oct 2019
DFNets: Spectral CNNs for Graphs with Feedback-Looped Filters Asiri Wijesinghe Qing Wang GNN 36 28 0 24 Oct 2019
Network2Vec Learning Node Representation Based on Space Mapping in Networks Zhenhua Huang Zhenyu Wang Rui Zhang Yangyang Zhao Xiaohui Xie S. Mehrotra 28 1 0 23 Oct 2019
USTAR: Online Multimodal Embedding for Modeling User-Guided Spatiotemporal Activity Amila Silva S. Karunasekera C. Leckie Ling Luo 29 4 0 23 Oct 2019
Recurrent Attention Walk for Semi-supervised Classification Uchenna Akujuobi Qiannan Zhang Han Yufei Xiangliang Zhang GNN 24 8 0 22 Oct 2019
Collaborative Graph Walk for Semi-supervised Multi-Label Node Classification Uchenna Akujuobi Yufei Han Qiannan Zhang Xiangliang Zhang 25 16 0 22 Oct 2019
Personalized Graph Neural Networks with Attention Mechanism for Session-Aware Recommendation Mengqi Zhang Shu Wu Meng Gao Xin Jiang Ke Xu Liang Wang 29 43 0 20 Oct 2019
Hierarchical Attentive Knowledge Graph Embedding for Personalized Recommendation Xiao Sha Zhu Sun Jie Zhang 41 63 0 18 Oct 2019
Graph Embedding VAE: A Permutation Invariant Model of Graph Structure Tony Duan Juho Lee GNN BDL CML 19 2 0 17 Oct 2019
Tutorial on NLP-Inspired Network Embedding Boaz Shmueli 3DV GNN 13 0 0 16 Oct 2019
HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories Yu Zhang Frank F. Xu Sha Li Yu Meng Xuan Wang Qi Li Jiawei Han 45 41 0 16 Oct 2019
RiWalk: Fast Structural Node Embedding via Role Identification Xuewei Ma Geng Qin Zhiyang Qiu Mingxin Zheng Zhe Wang 26 38 0 15 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 22 217 0 12 Oct 2019
Spectral embedding of weighted graphs Ian Gallagher Andrew Jones A. Bertiger Carey Priebe Patrick Rubin-Delanchy 30 16 0 12 Oct 2019
Finding Interpretable Concept Spaces in Node Embeddings using Knowledge Bases Maximilian Idahl Megha Khosla Avishek Anand 11 10 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
Learning event representations for temporal segmentation of image sequences by dynamic graph embedding Mariella Dimiccoli H. Wendt AI4TS 23 0 0 08 Oct 2019
On the Interpretability and Evaluation of Graph Representation Learning Antonia Gogoglou C. Bayan Bruss Keegan E. Hines 9 6 0 07 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 56 164 0 07 Oct 2019
Effective Stabilized Self-Training on Few-Labeled Graph Data Ziang Zhou Jieming Shi Shengzhong Zhang Zengfeng Huang Qing Li 42 13 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
Dynamic Embedding on Textual Networks via a Gaussian Process Pengyu Cheng Yitong Li D. Ponsa Liqun Cheng David Carlson Gary R. Bradski 19 10 0 05 Oct 2019
GENN: Predicting Correlated Drug-drug Interactions with Graph Energy Neural Networks Tengfei Ma Junyuan Shang Cao Xiao Jimeng Sun GNN 19 13 0 04 Oct 2019
Dynamic Joint Variational Graph Autoencoders Sedigheh Mahdavi Shima Khoshraftar Aijun An BDL 16 24 0 04 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 19 26 0 04 Oct 2019
Graph Analysis and Graph Pooling in the Spatial Domain M. Rahmani Maria Liakata GNN 42 3 0 03 Oct 2019
Graph-Hist: Graph Classification from Latent Feature Histograms With Application to Bot Detection Thomas Magelinski David M. Beskow Kathleen M. Carley 27 27 0 02 Oct 2019
Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks Guillaume Salha-Galvan Romain Hennequin Michalis Vazirgiannis GNN BDL 35 50 0 02 Oct 2019
On the Equivalence between Positional Node Embeddings and Structural Graph Representations Balasubramaniam Srinivasan Bruno Ribeiro 19 27 0 01 Oct 2019
A Quotient Space Formulation for Generative Statistical Analysis of Graphical Data X. Guo A. Srivastava Sudeep Sarkar 9 14 0 30 Sep 2019
Spread-gram: A spreading-activation schema of network structural learning Jie Bai Linjing Li D. Zeng GNN 11 0 0 30 Sep 2019
Improving Textual Network Learning with Variational Homophilic Embeddings Wenlin Wang Chenyang Tao Zhe Gan Guoyin Wang Liqun Chen Xinyuan Zhang Ruiyi Zhang Qian Yang Ricardo Henao Lawrence Carin DRL 11 16 0 30 Sep 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
Neural Embedding Propagation on Heterogeneous Networks Carl Yang Jieyu Zhang Jiawei Han 32 20 0 29 Sep 2019
Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights Carl Yang Yichen Feng Pan Li Yu Shi Jiawei Han 13 42 0 29 Sep 2019