DeepWalk: Online Learning of Social Representations

26 March 2014

Steven Skiena

Papers citing "DeepWalk: Online Learning of Social Representations"

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Title
From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited Zheng Wang H. Ding L. Pan Jianhua Li Zhiguo Gong Philip S. Yu GNN 33 5 0 24 Sep 2023
Crypto'Graph: Leveraging Privacy-Preserving Distributed Link Prediction for Robust Graph Learning Sofiane Azogagh Zelma Aubin Birba Sébastien Gambs M. Killijian 23 1 0 19 Sep 2023
OpenMSD: Towards Multilingual Scientific Documents Similarity Measurement Yang Gao Ji Ma I. Korotkov Keith B. Hall Dana Alon Donald Metzler 18 0 0 19 Sep 2023
Unsupervised Learning via Network-Aware Embeddings Anne Sophie Riis Damstrup Sofie Tosti Madsen Michele Coscia SSL 45 0 0 19 Sep 2023
Efficient Low-Rank GNN Defense Against Structural Attacks Abdullah Alchihabi Qing En Yuhong Guo AAML 6 1 0 18 Sep 2023
Recovering Missing Node Features with Local Structure-based Embeddings Victor M. Tenorio Madeline Navarro Santiago Segarra Antonio G. Marques 24 3 0 16 Sep 2023
Topological Node2vec: Enhanced Graph Embedding via Persistent Homology Yasuaki Hiraoka Yusuke Imoto Killian Meehan Théo Lacombe Toshiaki Yachimura 32 5 0 15 Sep 2023
Semi-supervised Domain Adaptation on Graphs with Contrastive Learning and Minimax Entropy Jiaren Xiao Quanyu Dai X. Shen Xiaochen Xie Jing Dai James Lam Ka-Wai Kwok 33 6 0 14 Sep 2023
Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning Jingcan Duan Pei Zhang Siwei Wang Jingtao Hu Hu Jin Jiaxin Zhang Haifang Zhou Xinwang Liu 42 10 0 12 Sep 2023
Force-directed graph embedding with hops distance Hamidreza Lotfalizadeh Mohammad Al Hasan GNN 16 2 0 11 Sep 2023
A parameterised model for link prediction using node centrality and similarity measure based on graph embedding Haohui Lu Mohammed Shahadat Uddin 16 6 0 11 Sep 2023
Leave no Place Behind: Improved Geolocation in Humanitarian Documents Enrico Belliardo Kyriaki Kalimeri Yelena Mejova 22 2 0 06 Sep 2023
A Text-based Approach For Link Prediction on Wikipedia Articles Anh Hoang Tran Tam Minh Nguyen Son T. Luu 11 0 0 01 Sep 2023
Domain-adaptive Message Passing Graph Neural Network X. Shen Shirui Pan K. Choi Xiaoping Zhou 40 16 0 31 Aug 2023
Contrastive Representation Learning Based on Multiple Node-centered Subgraphs Dong Li Wenjun Wang Minglai Shao Chen Zhao SSL 32 2 0 31 Aug 2023
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications Yi Zhang Yuying Zhao Zhaoqing Li Xueqi Cheng Yu-Chiang Frank Wang Olivera Kotevska Philip S. Yu Tyler Derr 31 10 0 31 Aug 2023
Everything Perturbed All at Once: Enabling Differentiable Graph Attacks Haoran Liu Bokun Wang Jianling Wang Xiangjue Dong Tianbao Yang James Caverlee AAML 44 3 0 29 Aug 2023
A Hybrid Membership Latent Distance Model for Unsigned and Signed Integer Weighted Networks Nikolaos Nakis Abdulkadir Çelikkanat Morten Mørup 36 0 0 29 Aug 2023
RESTORE: Graph Embedding Assessment Through Reconstruction H. Y. Yip Chidaksh Ravuru Neelabha Banerjee S. Jha Amit P. Sheth Aman Chadha Amitava Das 15 0 0 28 Aug 2023
Drug Interaction Vectors Neural Network: DrIVeNN Na Wang C. Taylor 14 0 0 26 Aug 2023
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions Zemin Liu Yuan N. Li Nan-Fang Chen Qian Wang Bryan Hooi Bin He FaML 21 13 0 26 Aug 2023
Network Embedding Using Sparse Approximations of Random Walks Paula Mercurio Di Liu 21 0 0 25 Aug 2023
Using Adamic-Adar Index Algorithm to Predict Volunteer Collaboration: Less is More Chaochen Wu Peng Chen Baiqiao Yin Zijuan Lin Chengxi Jiang Di Yu Changhong Zou Chun-Chung Lui 30 0 0 25 Aug 2023
RamseyRL: A Framework for Intelligent Ramsey Number Counterexample Searching Steve Vott Adam Lehavi 22 0 0 23 Aug 2023
A Survey on Self-Supervised Representation Learning Tobias Uelwer Jan Robine Stefan Sylvius Wagner Marc Höftmann Eric Upschulte S. Konietzny Maike Behrendt Stefan Harmeling SSL AI4TS OOD 29 12 0 22 Aug 2023
UGSL: A Unified Framework for Benchmarking Graph Structure Learning Bahare Fatemi Sami Abu-El-Haija Anton Tsitsulin Seyed Mehran Kazemi Dustin Zelle Neslihan Bulut Jonathan J. Halcrow Bryan Perozzi 54 10 0 21 Aug 2023
DySuse: Susceptibility Estimation in Dynamic Social Networks Yingdan Shi Jingya Zhou Congcong Zhang 19 1 0 21 Aug 2023
Geometric instability of graph neural networks on large graphs Emily L Morris Haotian Shen Weiling Du Muhammad Hamza Sajjad Borun Shi GNN 39 0 0 19 Aug 2023
Contrastive Learning for Non-Local Graphs with Multi-Resolution Structural Views Asif Khan Amos Storkey 29 1 0 19 Aug 2023
Explicit Time Embedding Based Cascade Attention Network for Information Popularity Prediction Xigang Sun Jingya Zhou Ling Liu Wenqi Wei GNN AI4TS 29 21 0 19 Aug 2023
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction Yucheng Shi Yushun Dong Qiaoyu Tan Jundong Li Ninghao Liu 53 25 0 18 Aug 2023
Disparity, Inequality, and Accuracy Tradeoffs in Graph Neural Networks for Node Classification Arpit Merchant Carlos Castillo 33 3 0 18 Aug 2023
Independent Distribution Regularization for Private Graph Embedding Qie Hu Yangqiu Song 21 4 0 16 Aug 2023
Effect of Choosing Loss Function when Using T-batching for Representation Learning on Dynamic Networks Erfan Loghmani MohammadAmin Fazli 18 4 0 13 Aug 2023
Knowledge Propagation over Conditional Independence Graphs Urszula Chajewska H. Shrivastava 26 1 0 10 Aug 2023
CasCIFF: A Cross-Domain Information Fusion Framework Tailored for Cascade Prediction in Social Networks Hongjun Zhu Shun Yuan Xin Liu Kuo Chen Chaolong Jia Ying Qian 17 5 0 09 Aug 2023
Methods for Acquiring and Incorporating Knowledge into Stock Price Prediction: A Survey Liping Wang Jiawei Li Lifan Zhao Zhizhuo Kou Xiaohan Wang Xinyi Zhu Hao Wang Yanyan Shen Lei Chen AIFin 31 9 0 09 Aug 2023
Biomedical Knowledge Graph Embeddings with Negative Statements R. T. Sousa Sara Silva Heiko Paulheim Catia Pesquita MedIm 27 4 0 07 Aug 2023
Imbalanced Large Graph Learning Framework for FPGA Logic Elements Packing Prediction Zhixiong Di Runzhe Tao Lin Chen Qiang Wu Yibo Lin 17 0 0 07 Aug 2023
VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs Ling Yang Ye Tian Minkai Xu Zhongyi Liu Shenda Hong Wei Qu Wentao Zhang Bin Cui Muhan Zhang J. Leskovec 42 13 0 04 Aug 2023
Unsupervised Multiplex Graph Learning with Complementary and Consistent Information Liang Peng Xin Eric Wang Xiao-lan Zhu 19 6 0 03 Aug 2023
Graph Contrastive Learning with Generative Adversarial Network Cheng Wu Chao-Hong Wang Jingcao Xu Ziyang Liu Kai Zheng Xiaowei Wang Yang Song Kun Gai GAN 23 21 0 01 Aug 2023
Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis Vito Walter Anelli Daniele Malitesta Claudio Pomo Alejandro Bellogín Tommaso Di Noia E. Sciascio 32 10 0 01 Aug 2023
HUGE: Huge Unsupervised Graph Embeddings with TPUs Brandon Mayer Anton Tsitsulin Hendrik Fichtenberger Jonathan J. Halcrow Bryan Perozzi GNN 13 1 0 26 Jul 2023
Coupled-Space Attacks against Random-Walk-based Anomaly Detection Y. Lai Marcin Waniek Liying Li Jing-Zheng Wu Yulin Zhu Tomasz P. Michalak Talal Rahwan Kai Zhou AAML 35 0 0 26 Jul 2023
Entropy Neural Estimation for Graph Contrastive Learning Yixuan Ma Xiaolin Zhang Peng Zhang Kun Zhan SSL 25 15 0 26 Jul 2023
Finding Money Launderers Using Heterogeneous Graph Neural Networks F. Johannessen Martin Jullum 31 4 0 25 Jul 2023
CTAGE: Curvature-Based Topology-Aware Graph Embedding for Learning Molecular Representations Yili Chen Zhengyu Li Zheng Wan Hui Yu Xian Wei 28 0 0 25 Jul 2023
Homophily-Driven Sanitation View for Robust Graph Contrastive Learning Yulin Zhu Xing Ai Yevgeniy Vorobeychik Kai Zhou AAML 26 0 0 24 Jul 2023
Spectral Normalized-Cut Graph Partitioning with Fairness Constraints Jia Li Yanhao Wang Arpit Merchant 48 1 0 22 Jul 2023