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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
Contrastive Learning for Non-Local Graphs with Multi-Resolution Structural Views Asif Khan Amos Storkey 64 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 91 22 0 19 Aug 2023
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction Yucheng Shi Yushun Dong Qiaoyu Tan Jundong Li Ninghao Liu 145 27 0 18 Aug 2023
Disparity, Inequality, and Accuracy Tradeoffs in Graph Neural Networks for Node Classification Arpit Merchant Carlos Castillo 57 4 0 18 Aug 2023
Independent Distribution Regularization for Private Graph Embedding Qie Hu Yangqiu Song 153 7 0 16 Aug 2023
Effect of Choosing Loss Function when Using T-batching for Representation Learning on Dynamic Networks Erfan Loghmani MohammadAmin Fazli 48 4 0 13 Aug 2023
Knowledge Propagation over Conditional Independence Graphs Urszula Chajewska H. Shrivastava 92 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 57 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 113 10 0 09 Aug 2023
Biomedical Knowledge Graph Embeddings with Negative Statements R. T. Sousa Sara Silva Heiko Paulheim Catia Pesquita MedIm 59 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 111 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 Tengjiao Wang Muhan Zhang J. Leskovec 86 14 0 04 Aug 2023
Unsupervised Multiplex Graph Learning with Complementary and Consistent Information Liang Peng Xin Eric Wang Xiao-lan Zhu 70 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 108 23 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 111 11 0 01 Aug 2023
HUGE: Huge Unsupervised Graph Embeddings with TPUs Brandon Mayer Anton Tsitsulin Hendrik Fichtenberger Jonathan J. Halcrow Bryan Perozzi GNN 60 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 83 0 0 26 Jul 2023
Entropy Neural Estimation for Graph Contrastive Learning Yixuan Ma Xiaolin Zhang Peng Zhang Kun Zhan SSL 129 15 0 26 Jul 2023
Finding Money Launderers Using Heterogeneous Graph Neural Networks F. Johannessen Martin Jullum 59 7 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 91 1 0 25 Jul 2023
Homophily-Driven Sanitation View for Robust Graph Contrastive Learning Yulin Zhu Xing Ai Yevgeniy Vorobeychik Kai Zhou AAML 100 0 0 24 Jul 2023
Spectral Normalized-Cut Graph Partitioning with Fairness Constraints Jia Li Yanhao Wang Arpit Merchant 82 2 0 22 Jul 2023
Collaborative Graph Neural Networks for Attributed Network Embedding Qiaoyu Tan Xin Zhang Xiao Shi Huang Haojun Chen Jundong Li Helen Zhou 154 12 0 22 Jul 2023
Disentangling Node Attributes from Graph Topology for Improved Generalizability in Link Prediction Ayan Chatterjee Robin Walters G. Menichetti Tina Eliassi-Rad AI4CE 73 2 0 17 Jul 2023
From random-walks to graph-sprints: a low-latency node embedding framework on continuous-time dynamic graphs Ahmad Naser Eddin Jacopo Bono David Oliveira Aparício Hugo Ferreira João Tiago Ascensão Pedro Ribeiro P. Bizarro 74 2 0 17 Jul 2023
Neurosymbolic AI for Reasoning on Biomedical Knowledge Graphs L. Delong Ramon Fernández Mir Zonglin Ji Fiona Niamh Coulter Smith Jacques D. Fleuriot 78 1 0 17 Jul 2023
Deep learning for dynamic graphs: models and benchmarks Alessio Gravina D. Bacciu GNN AI4CE 101 15 0 12 Jul 2023
Inductive Meta-path Learning for Schema-complex Heterogeneous Information Networks Shixuan Liu Changjun Fan Kewei Cheng Yunfei Wang Peng Cui Yizhou Sun Zhong Liu 58 3 0 08 Jul 2023
Attentive Graph Enhanced Region Representation Learning Weiliang Chen Qian-nan Ren Jinbao Li AI4TS 78 2 0 06 Jul 2023
Learning Disentangled Representations in Signed Directed Graphs without Social Assumptions Geonwoo Ko Jinhong Jung 69 4 0 06 Jul 2023
CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks Yuanchen Bei Haonan Xu Sheng Zhou Huixuan Chi Haishuai Wang Mengdi Zhang Zhao Li Jiajun Bu 104 6 0 06 Jul 2023
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers Alan John Varghese Aniruddha Bora Mengjia Xu George Karniadakis 113 6 0 05 Jul 2023
Muti-scale Graph Neural Network with Signed-attention for Social Bot Detection: A Frequency Perspective S. Shi Kai Qiao Zhengyan Wang J. Yang Baojie Song Jian Chen Binghai Yan 80 3 0 05 Jul 2023
Random Walk on Multiple Networks Dongsheng Luo Yuchen Bian Yaowei Yan Xiong Yu Jun Huan Xiao Liu Xiang Zhang 65 2 0 04 Jul 2023
HAGNN: Hybrid Aggregation for Heterogeneous Graph Neural Networks Guanghui Zhu Zhen-Wei Zhu Hongyang Chen Chun Yuan Jiaming Ji 90 4 0 04 Jul 2023
PlanE: Representation Learning over Planar Graphs Radoslav Dimitrov Zeyang Zhao Ralph Abboud .Ismail .Ilkan Ceylan GNN 86 11 0 03 Jul 2023
ENGAGE: Explanation Guided Data Augmentation for Graph Representation Learning Yucheng Shi Kaixiong Zhou Ninghao Liu 109 12 0 03 Jul 2023
A Survey on Graph Classification and Link Prediction based on GNN Xingyu Liu Juan Chen Q. Wen GNN 103 13 0 03 Jul 2023
A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics Chuan Qin Le Zhang Yihang Cheng Rui Zha Dazhong Shen ... Xi Chen Ying Sun Chen Zhu Hengshu Zhu Hui Xiong 82 42 0 03 Jul 2023
Social World Knowledge: Modeling and Applications Nir Lotan Einat Minkov 67 4 0 28 Jun 2023
MyDigitalFootprint: an extensive context dataset for pervasive computing applications at the edge M. Campana Franca Delmastro 36 3 0 28 Jun 2023
Towards Few-shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-guided Neural Process Approach Zicheng Zhao Linhao Luo Shirui Pan Quoc Viet Hung Nguyen Chenggui Gong 77 6 0 26 Jun 2023
PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks Saket Gurukar S. Venkatakrishnan B. Ravindran Srinivas Parthasarathy GNN 49 0 0 25 Jun 2023
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware Shichang Zhang Atefeh Sohrabizadeh Cheng Wan Zijie Huang Ziniu Hu Yewen Wang Yingyan Lin Lin Jason Cong Yizhou Sun GNN AI4CE 111 25 0 24 Jun 2023
Torsion Graph Neural Networks Cong Shen Xiang Liu Jiawei Luo Kelin Xia 83 1 0 23 Jun 2023
Curvature-enhanced Graph Convolutional Network for Biomolecular Interaction Prediction Cong Shen Pingjian Ding Junjie Wee Jialin Bi Jiawei Luo Kelin Xia GNN 120 6 0 23 Jun 2023
TrustGuard: GNN-based Robust and Explainable Trust Evaluation with Dynamicity Support Jie Wang Zheng Yan Jiahe Lan Elisa Bertino Witold Pedrycz 65 13 0 23 Jun 2023
On Addressing the Limitations of Graph Neural Networks Sitao Luan GNN 108 5 0 22 Jun 2023
Spatial Heterophily Aware Graph Neural Networks Congxi Xiao Jingbo Zhou Jizhou Huang Tong Xu Hui Xiong 105 9 0 21 Jun 2023
Structure-Aware DropEdge Towards Deep Graph Convolutional Networks Jiaqi Han Wen-bing Huang Yu Rong Tingyang Xu Gang Hua Junzhou Huang 92 6 0 21 Jun 2023