DeepWalk: Online Learning of Social Representations

26 March 2014

Steven Skiena

Papers citing "DeepWalk: Online Learning of Social Representations"

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Title
CoRGi: Content-Rich Graph Neural Networks with Attention Jooyeon Kim A. Lamb Simon Woodhead Simon L. Peyton Jones Cheng Zheng Miltiadis Allamanis 44 6 0 10 Oct 2021
Haar Wavelet Feature Compression for Quantized Graph Convolutional Networks Moshe Eliasof Ben Bodner Eran Treister GNN 40 8 0 10 Oct 2021
Weakly Supervised Concept Map Generation through Task-Guided Graph Translation Jiaying Lu Xiangjue Dong Carl Yang 37 3 0 08 Oct 2021
Hybrid Graph Embedding Techniques in Estimated Time of Arrival Task Vadim Porvatov Natalia Semenova A. Chertok GNN AI4TS 27 3 0 08 Oct 2021
RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training Ziyue Qiao Yanjie Fu Pengyang Wang Meng Xiao Zhiyuan Ning Denghui Zhang Yi Du Yuanchun Zhou 39 13 0 08 Oct 2021
Dyn-Backdoor: Backdoor Attack on Dynamic Link Prediction Jinyin Chen Haiyang Xiong Haibin Zheng Jian Zhang Guodong Jiang Yi Liu AAML SILM AI4CE 51 10 0 08 Oct 2021
Attentive Walk-Aggregating Graph Neural Networks M. F. Demirel Shengchao Liu Siddhant Garg Zhenmei Shi Yingyu Liang 95 10 0 06 Oct 2021
Inference Attacks Against Graph Neural Networks Zhikun Zhang Min Chen Michael Backes Yun Shen Yang Zhang MIACV AAML GNN 38 50 0 06 Oct 2021
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning Jun Xia Lirong Wu Ge Wang Jintao Chen Stan Z. Li 38 121 0 05 Oct 2021
Traffic Flow Forecasting with Maintenance Downtime via Multi-Channel Attention-Based Spatio-Temporal Graph Convolutional Networks Yuanjie Lu Parastoo Kamranfar David Lattanzi Amarda Shehu GNN AI4TS 16 4 0 04 Oct 2021
Motif-based Graph Self-Supervised Learning for Molecular Property Prediction Zaixin Zhang Qi Liu Hao Wang Chengqiang Lu Chee-Kong Lee SSL AI4CE 51 252 0 03 Oct 2021
Inductive Representation Learning in Temporal Networks via Mining Neighborhood and Community Influences Meng Liu Yong Liu AI4TS 95 37 0 01 Oct 2021
Unsupervised Belief Representation Learning with Information-Theoretic Variational Graph Auto-Encoders Jinning Li Huajie Shao Dachun Sun Ruijie Wang Yuchen Yan Jinyang Li Shengzhong Liu Hanghang Tong Tarek Abdelzaher CML SSL 24 25 0 01 Oct 2021
Latent Network Embedding via Adversarial Auto-encoders Minglong Lei Yong Shi Lingfeng Niu GNN 26 0 0 30 Sep 2021
How Neural Processes Improve Graph Link Prediction Huidong Liang Junbin Gao AI4CE 53 13 0 30 Sep 2021
Adaptive Multi-layer Contrastive Graph Neural Networks S. Shi Pengfei Xie Xu Luo Kai Qiao Linyuan Wang Jian Chen B. Yan OOD 24 5 0 29 Sep 2021
DeepPSL: End-to-end perception and reasoning Sridhar Dasaratha Sai Akhil Puranam Karmvir Singh Phogat Sunil R. Tiyyagura Nigel P. Duffy BDL ReLM LRM 65 3 0 28 Sep 2021
DynG2G: An Efficient Stochastic Graph Embedding Method for Temporal Graphs Mengjia Xu Apoorva Vikram Singh George Karniadakis AI4CE 55 9 0 28 Sep 2021
Multi-way Clustering and Discordance Analysis through Deep Collective Matrix Tri-Factorization Ragunathan Mariappan Vaibhav Rajan 13 0 0 27 Sep 2021
One-Hot Graph Encoder Embedding Cencheng Shen Qizhe Wang Carey E. Priebe 10 29 0 27 Sep 2021
ConTIG: Continuous Representation Learning on Temporal Interaction Graphs Xu Yan Xiaoliang Fan Peizhen Yang Zonghan Wu Shirui Pan Longbiao Chen Yu Zang Cheng-Yu Wang 51 6 0 27 Sep 2021
Entity Linking Meets Deep Learning: Techniques and Solutions Wei Shen Yuhan Li Yinan Liu Jiawei Han Jianyong Wang Xiaojie Yuan 70 52 0 26 Sep 2021
Combining Discrete Choice Models and Neural Networks through Embeddings: Formulation, Interpretability and Performance Ioanna Arkoudi C. L. Azevedo Francisco Câmara Pereira 21 17 0 24 Sep 2021
DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications Dongqi Han Zhiliang Wang Wenqi Chen Ying Zhong Su Wang Han Zhang Jiahai Yang Xingang Shi Xia Yin AAML 29 76 0 23 Sep 2021
Automated Feature-Topic Pairing: Aligning Semantic and Embedding Spaces in Spatial Representation Learning Dongjie Wang Kunpeng Liu David Mohaisen Pengyang Wang Chang-Tien Lu Yanjie Fu 29 8 0 22 Sep 2021
Context-aware Tree-based Deep Model for Recommender Systems Daqing Chang Jintao Liu Xinhang Li Han Li Ziru Xu Xiaoqiang Zhu 42 3 0 22 Sep 2021
Investigating and Modeling the Dynamics of Long Ties Ding Lyu Yuan. Yuan Lin Wang Xiaofan Wang Alex Pentland 55 15 0 22 Sep 2021
Recommender systems based on graph embedding techniques: A comprehensive review Yue Deng 60 22 0 20 Sep 2021
Grouping Search Results with Product Graphs in E-commerce Platforms Suhas Ranganath Shibsankar Das Sanjay Thilaivasan Shipra Agarwal Varun Shrivastava 22 0 0 20 Sep 2021
Harnessing the Power of Ego Network Layers for Link Prediction in Online Social Networks Mustafa Toprak Chiara Boldrini A. Passarella M. Conti 18 17 0 19 Sep 2021
Accurately Modeling Biased Random Walks on Weighted Graphs Using $\textit{Node2vec+}$ Renming Liu M. Hirn Arjun Krishnan 24 4 0 15 Sep 2021
Embedding Node Structural Role Identity Using Stress Majorization Lili Wang Chenghan Huang Weicheng Ma Ying Lu Soroush Vosoughi 23 4 0 14 Sep 2021
Graph Embedding via Diffusion-Wavelets-Based Node Feature Distribution Characterization Lili Wang Chenghan Huang Weicheng Ma Xinyuan Cao Soroush Vosoughi GNN DiffM 32 15 0 14 Sep 2021
HeMI: Multi-view Embedding in Heterogeneous Graphs Costas Mavromatis George Karypis 27 3 0 14 Sep 2021
Network representation learning systematic review: ancestors and current development state Amina Amara Mohamed Ali Hadj Taieb M. Benaouicha AI4TS GNN 25 23 0 14 Sep 2021
Ergodic Limits, Relaxations, and Geometric Properties of Random Walk Node Embeddings Christy Lin D. Sussman Prakash Ishwar 29 5 0 09 Sep 2021
QUINT: Node embedding using network hashing Debajyoti Bera Rameshwar Pratap Bhisham Dev Verma Biswadeep Sen Tanmoy Chakraborty GNN 38 3 0 09 Sep 2021
Local Augmentation for Graph Neural Networks Songtao Liu Rex Ying Hanze Dong Lanqing Li Tingyang Xu Yu Rong P. Zhao Junzhou Huang Dinghao Wu 64 91 0 08 Sep 2021
X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning Baoyu Jing Shengyu Feng Yuejia Xiang Xi Chen Yu Chen Hanghang Tong 88 28 0 08 Sep 2021
HMSG: Heterogeneous Graph Neural Network based on Metapath Subgraph Learning Xinjun Cai Jiaxing Shang Fei Hao Dajiang Liu Linjiang Zheng 38 20 0 07 Sep 2021
Pointspectrum: Equivariance Meets Laplacian Filtering for Graph Representation Learning Marinos Poiitis Pavlos Sermpezis Athena Vakali 36 0 0 06 Sep 2021
Deep Dual Support Vector Data Description for Anomaly Detection on Attributed Networks Fengbin Zhang Haoyi Fan Ruidong Wang Zuoyong Li Tiancai Liang 29 31 0 01 Sep 2021
Structure-Aware Hard Negative Mining for Heterogeneous Graph Contrastive Learning Yanqiao Zhu Yichen Xu Hejie Cui Carl Yang Qiang Liu Shu Wu 24 9 0 31 Aug 2021
Heterogeneous Graph Neural Network with Multi-view Representation Learning Zezhi Shao Yongjun Xu Wei Wei Fei Wang Zhao Zhang Feida Zhu 34 21 0 31 Aug 2021
Adaptive Label Smoothing To Regularize Large-Scale Graph Training Kaixiong Zhou Ninghao Liu Fan Yang Zirui Liu Rui Chen Li Li Soo-Hyun Choi Xia Hu AI4CE 29 19 0 30 Aug 2021
GeoVectors: A Linked Open Corpus of OpenStreetMap Embeddings on World Scale Nicolas Tempelmeier Simon Gottschalk Elena Demidova 32 14 0 30 Aug 2021
End-To-End Anomaly Detection for Identifying Malicious Cyber Behavior through NLP-Based Log Embeddings Andrew Golczynski John A. Emanuello 33 12 0 27 Aug 2021
Graph-based Incident Aggregation for Large-Scale Online Service Systems Zhuangbin Chen Jinyang Liu Yuxin Su Hongyu Zhang Xuemin Wen Xiao Ling Yongqiang Yang Michael R. Lyu 22 20 0 27 Aug 2021
Multiscale Spatio-Temporal Graph Neural Networks for 3D Skeleton-Based Motion Prediction Maosen Li Siheng Chen Yangheng Zhao Ya Zhang Yanfeng Wang Qi Tian 3DH 30 75 0 25 Aug 2021
Graph Neural Networks: Methods, Applications, and Opportunities Lilapati Waikhom Ripon Patgiri GNN 50 42 0 24 Aug 2021