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DeepWalk: Online Learning of Social Representations

26 March 2014

Steven Skiena

Papers citing "DeepWalk: Online Learning of Social Representations"

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Title
Item-Graph2vec: a Efficient and Effective Approach using Item Co-occurrence Graph Embedding for Collaborative Filtering Ruilin Yuan Leya Li Yuanzhe Cai AI4TS 69 0 0 22 Oct 2023
Ensemble Learning for Graph Neural Networks Zhen Hao Wong Ling Yue Quanming Yao 106 0 0 22 Oct 2023
Augment with Care: Enhancing Graph Contrastive Learning with Selective Spectrum Perturbation Kaiqi Yang Haoyu Han Wei Jin Hui Liu 79 2 0 20 Oct 2023
Graph AI in Medicine Ruth Johnson Michelle M. Li Ayush Noori Owen Queen Marinka Zitnik 104 4 0 20 Oct 2023
HierCas: Hierarchical Temporal Graph Attention Networks for Popularity Prediction in Information Cascades Zhizhen Zhang Xiao-Zhu Xie Yishuo Zhang Lanshan Zhang Yong Jiang GNN 33 0 0 20 Oct 2023
Enhancing the Performance of Automated Grade Prediction in MOOC using Graph Representation Learning Soheila Farokhi Aswani Yaramala Jiangtao Huang Muhammad Fawad Akbar Khan Xiaojun Qi Hamid Karimi 54 6 0 18 Oct 2023
Efficiently Visualizing Large Graphs Xinyu Li Yao Xiao Yuchen Zhou 42 0 0 17 Oct 2023
From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond Andi Han Dai Shi Lequan Lin Junbin Gao AI4CE GNN 124 24 0 16 Oct 2023
Node classification in networks via simplicial interactions Eunho Koo Tongseok Lim 87 0 0 16 Oct 2023
Symmetrical SyncMap for Imbalanced General Chunking Problems Heng Zhang Danilo Vasconcellos Vargas 54 2 0 16 Oct 2023
Surveying the Landscape of Text Summarization with Deep Learning: A Comprehensive Review Guanghua Wang Weili Wu AI4TS AILaw 91 4 0 13 Oct 2023
Does Graph Distillation See Like Vision Dataset Counterpart? Beining Yang Kai Wang Qingyun Sun Cheng Ji Xingcheng Fu Hao Tang Yang You Jianxin Li DD 74 45 0 13 Oct 2023
Local Graph Clustering with Noisy Labels George Giapitzakis Kimon Fountoulakis Shenghao Yang 52 1 0 12 Oct 2023
Data-centric Graph Learning: A Survey Jixi Liu Deyu Bo Cheng Yang Haoran Dai Qi Zhang Yixin Xiao Yufei Peng Chuan Shi GNN 106 21 0 08 Oct 2023
Higher-Order DeepTrails: Unified Approach to *Trails Tobias Koopmann Jan Pfister André Markus Astrid Carolus Carolin Wienrich Andreas Hotho AI4TS 33 0 0 06 Oct 2023
EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations Vaibhav Bihani Utkarsh Pratiush Sajid Mannan Tao Du Zhimin Chen Santiago Miret Matthieu Micoulaut M. Smedskjaer Sayan Ranu N. M. A. Krishnan 68 19 0 03 Oct 2023
DINE: Dimensional Interpretability of Node Embeddings Simone Piaggesi Megha Khosla Andre' Panisson Avishek Anand 82 6 0 02 Oct 2023
The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks Christopher Blöcker Chester Tan Ingo Scholtes 101 1 0 02 Oct 2023
EX-Graph: A Pioneering Dataset Bridging Ethereum and X Qian Wang Zhen Zhang Zemin Liu Shengliang Lu B. Luo Bingsheng He 70 10 0 02 Oct 2023
ALEX: Towards Effective Graph Transfer Learning with Noisy Labels Jingyang Yuan Xiao Luo Yifang Qin Zhengyan Mao Wei Ju Ming Zhang AAML 97 18 0 26 Sep 2023
Graph Representation Learning Towards Patents Network Analysis Mohammad Heydari B. Teimourpour 23 1 0 25 Sep 2023
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning Jing Zhu Xiang Song V. Ioannidis Danai Koutra Christos Faloutsos 190 15 0 25 Sep 2023
From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited Zheng Wang H. Ding Leyi Pan Jianhua Li Zhiguo Gong Philip S. Yu GNN 97 6 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 35 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 62 0 0 19 Sep 2023
Unsupervised Learning via Network-Aware Embeddings Anne Sophie Riis Damstrup Sofie Tosti Madsen Michele Coscia SSL 117 0 0 19 Sep 2023
Efficient Low-Rank GNN Defense Against Structural Attacks Abdullah Alchihabi Qing En Yuhong Guo AAML 64 1 0 18 Sep 2023
Recovering Missing Node Features with Local Structure-based Embeddings Victor M. Tenorio Madeline Navarro Santiago Segarra Antonio G. Marques 74 5 0 16 Sep 2023
Topological Node2vec: Enhanced Graph Embedding via Persistent Homology Yasuaki Hiraoka Yusuke Imoto Killian Meehan Théo Lacombe Toshiaki Yachimura 68 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 78 7 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 103 16 0 12 Sep 2023
Force-directed graph embedding with hops distance Hamidreza Lotfalizadeh Mohammad Al Hasan GNN 28 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 91 7 0 11 Sep 2023
Leave no Place Behind: Improved Geolocation in Humanitarian Documents Enrico Belliardo Kyriaki Kalimeri Yelena Mejova 82 2 0 06 Sep 2023
A Text-based Approach For Link Prediction on Wikipedia Articles Anh Hoang Tran Tam Minh Nguyen Son T. Luu 39 0 0 01 Sep 2023
Domain-adaptive Message Passing Graph Neural Network X. Shen Shirui Pan K. Choi Xiaoping Zhou 108 18 0 31 Aug 2023
Contrastive Representation Learning Based on Multiple Node-centered Subgraphs Dong Li Wenjun Wang Minglai Shao Chen Zhao SSL 85 3 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 Wang Olivera Kotevska Philip S. Yu Hanyu Wang 132 13 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 113 3 0 29 Aug 2023
A Hybrid Membership Latent Distance Model for Unsigned and Signed Integer Weighted Networks Nikolaos Nakis Abdulkadir Çelikkanat Morten Mørup 48 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 39 0 0 28 Aug 2023
Drug Interaction Vectors Neural Network: DrIVeNN Na Wang C. Taylor 28 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 91 15 0 26 Aug 2023
Network Embedding Using Sparse Approximations of Random Walks Paula Mercurio Di Liu 34 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 43 0 0 25 Aug 2023
RamseyRL: A Framework for Intelligent Ramsey Number Counterexample Searching Steve Vott Adam Lehavi 36 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 142 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 111 11 0 21 Aug 2023
DySuse: Susceptibility Estimation in Dynamic Social Networks Yingdan Shi Jingya Zhou Congcong Zhang 26 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 121 0 0 19 Aug 2023