DeepWalk: Online Learning of Social Representations

26 March 2014

Steven Skiena

Papers citing "DeepWalk: Online Learning of Social Representations"

50 / 2,441 papers shown

Title
Recent Advances in Malware Detection: Graph Learning and Explainability Hossein Shokouhinejad Roozbeh Razavi-Far Hesamodin Mohammadian Mahdi Rabbani Samuel Ansong Griffin Higgins Ali Ghorbani AAML 76 2 0 14 Feb 2025
MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation Xiangjin Xie Yiran Chen Ruipeng Wang Kai Ouyang Zihan Zhang ... Buyue Qian Hansen Zheng Bo Hu Chengxiang Zhuo Zang Li 74 3 0 12 Feb 2025
Revisiting Dynamic Graph Clustering via Matrix Factorization Dongyuan Li Satoshi Kosugi Ying Zhang Manabu Okumura Feng Xia Renhe Jiang 66 1 0 10 Feb 2025
Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning Chengkai Han Jingyuan Wang Y. Wang Xie Yu Hao Lin Chao Li Junjie Wu AI4TS 64 1 0 08 Feb 2025
EdgeGFL: Rethinking Edge Information in Graph Feature Preference Learning Shengda Zhuo Jiwang Fang Hongguang Lin Yin Tang Min Chen Changdong Wang Shuqiang Huang 56 0 0 04 Feb 2025
Learning Efficient Positional Encodings with Graph Neural Networks Charilaos I. Kanatsoulis Evelyn Choi Stephanie Jegelka Jure Leskovec Alejandro Ribeiro 66 1 0 03 Feb 2025
GraphMinNet: Learning Dependencies in Graphs with Light Complexity Minimal Architecture Md. Atik Ahamed Andrew Cheng Q. Ye Q. Cheng GNN 58 0 0 01 Feb 2025
Generic Multimodal Spatially Graph Network for Spatially Embedded Network Representation Learning Xudong Fan Jürgen Hackl 64 0 0 01 Feb 2025
Information Discovery in e-Commerce Z. Z. Ren Xiangnan He Dawei Yin Maarten de Rijke 35 8 0 28 Jan 2025
Deep Modularity Networks with Diversity--Preserving Regularization Yasmin Salehi D. Giannacopoulos 38 0 0 23 Jan 2025
Learning Graph Node Embeddings by Smooth Pair Sampling Konstantin Kutzkov 43 0 0 22 Jan 2025
Optimizing Blockchain Analysis: Tackling Temporality and Scalability with an Incremental Approach with Metropolis-Hastings Random Walks Junliang Luo Xue Liu 34 0 0 21 Jan 2025
A Hybrid Supervised and Self-Supervised Graph Neural Network for Edge-Centric Applications Eugenio Borzone Leandro Di Persia Matias Gerard SSL 70 0 0 21 Jan 2025
Community-Aware Temporal Walks: Parameter-Free Representation Learning on Continuous-Time Dynamic Graphs He Yu Jiaheng Liu 36 0 0 21 Jan 2025
Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation Wei Chen Guo Ye Yakun Wang Zhao Zhang Libang Zhang Daxin Wang Qing Cui Fuzhen Zhuang 91 2 0 17 Jan 2025
Enhancing Graph Representation Learning with Localized Topological Features Zuoyu Yan Qi Zhao Ze Ye Tengfei Ma Liangcai Gao Zhi Tang Yusu Wang Chao Chen 52 0 0 17 Jan 2025
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport Y. Liu Fausto Giunchiglia Ximing Li Lan Huang Xiaoyue Feng Renchu Guan OffRL 162 0 0 10 Jan 2025
Structure-Preference Enabled Graph Embedding Generation under Differential Privacy Sen Zhang Qingqing Ye Haibo Hu 46 0 0 08 Jan 2025
Introduction to Graph Neural Networks: A Starting Point for Machine Learning Engineers James H. Tanis Chris Giannella Adrian V. Mariano AI4CE GNN FaML PINN 68 0 0 27 Dec 2024
Context-Aware Deep Learning for Multi Modal Depression Detection Genevieve Lam Huang Dongyan Weisi Lin 35 80 0 26 Dec 2024
Graph Size-imbalanced Learning with Energy-guided Structural Smoothing Jiawen Qin Pengfeng Huang Qingyun Sun Cheng Ji Xingcheng Fu Jianxin Li 36 0 0 23 Dec 2024
A Generalizable Anomaly Detection Method in Dynamic Graphs Xiao Yang Xuejiao Zhao Zhiqi Shen 84 1 0 21 Dec 2024
CLDG: Contrastive Learning on Dynamic Graphs Yiming Xu Bin Shi Teng Ma Bo Dong Haoyi Zhou Qinghua Zheng 120 15 0 19 Dec 2024
Two Layer Walk: A Community-Aware Graph Embedding He Yu Jiaheng Liu 70 0 0 17 Dec 2024
GNN Applied to Ego-nets for Friend Suggestions Evgeny Zamyatin GNN 85 0 0 16 Dec 2024
Representation learning of dynamic networks Haixu Wang Jiguo Cao Jian Pei 75 0 0 15 Dec 2024
Graph Similarity Computation via Interpretable Neural Node Alignment Jingjing Wang Hongjie Zhu H. Xie F. Wang Xiaoliang Xu Yuxiang Wang 72 0 0 13 Dec 2024
Adapting Unsigned Graph Neural Networks for Signed Graphs: A Few-Shot Prompt Tuning Approach Zian Zhai Sima Qing Xiaoyang Wang Wenjie Zhang 67 0 0 11 Dec 2024
GETAE: Graph information Enhanced deep neural NeTwork ensemble ArchitecturE for fake news detection Ciprian-Octavian Truică Elena Simona Apostol Marius Marogel Adrian Paschke GNN 70 0 0 02 Dec 2024
A Versatile Influence Function for Data Attribution with Non-Decomposable Loss Junwei Deng Weijing Tang Jiaqi W. Ma TDI 134 0 0 02 Dec 2024
Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Yujie Mo Zhihe Lu Runpeng Yu Xiaofeng Zhu Xinchao Wang 79 2 0 01 Dec 2024
Attribute-Enhanced Similarity Ranking for Sparse Link Prediction João Mattos Zexi Huang Mert Kosan Ambuj Singh A. Silva 74 1 0 29 Nov 2024
ContextGNN: Beyond Two-Tower Recommendation Systems Yiwen Yuan Zecheng Zhang Xinwei He Akihiro Nitta Weihua Hu ... Blaž Stojanovič Alan Krumholz J. E. Lenssen J. Leskovec Matthias Fey 62 5 0 29 Nov 2024
Best of Both Worlds: Advantages of Hybrid Graph Sequence Models Ali Behrouz Ali Parviz Mahdi Karami Clayton Sanford Bryan Perozzi Vahab Mirrokni 84 2 0 23 Nov 2024
TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning Jiawei E Yinglong Zhang Xuewen Xia Xing Xu 74 0 0 23 Nov 2024
GeoAI-Enhanced Community Detection on Spatial Networks with Graph Deep Learning Yunlei Liang Jiawei Zhu Wen-Gui Ye Song Gao GNN 76 3 0 23 Nov 2024
Scalable Deep Metric Learning on Attributed Graphs Xiang Li G. Agrawal R. Jin R. Ramnath 72 0 0 20 Nov 2024
TESGNN: Temporal Equivariant Scene Graph Neural Networks for Efficient and Robust Multi-View 3D Scene Understanding Quang P.M. Pham Khoi T.N. Nguyen Lan C. Ngo Dezhen Song Truong Do Truong-Son Hy 3DPC 42 2 0 15 Nov 2024
Variational Graph Contrastive Learning Shifeng Xie Jhony H. Giraldo 42 0 0 11 Nov 2024
Enhancing Financial Fraud Detection with Human-in-the-Loop Feedback and Feedback Propagation Prashank Kadam 30 0 0 07 Nov 2024
Financial Fraud Detection using Jump-Attentive Graph Neural Networks Prashank Kadam GNN 38 0 0 07 Nov 2024
Assessing and Enhancing Graph Neural Networks for Combinatorial Optimization: Novel Approaches and Application in Maximum Independent Set Problems Chenchuhui Hu 25 0 0 06 Nov 2024
JPEC: A Novel Graph Neural Network for Competitor Retrieval in Financial Knowledge Graphs Wanying Ding Manoj Cherukumalli Santosh Chikoti Vinay K. Chaudhri 26 0 0 05 Nov 2024
PageRank Bandits for Link Prediction Yikun Ban Jiaru Zou Zihao Li Yunzhe Qi Dongqi Fu Jian Kang Hanghang Tong Jingrui He 46 3 0 03 Nov 2024
Negative-Free Self-Supervised Gaussian Embedding of Graphs Yunhui Liu Tieke He Tao Zheng Jianhua Zhao SSL 47 1 0 02 Nov 2024
Node Regression on Latent Position Random Graphs via Local Averaging Martin Gjorgjevski Nicolas Keriven Simon Barthelmé Yohann De Castro 16 1 0 29 Oct 2024
Disentangled and Self-Explainable Node Representation Learning Simone Piaggesi Andre' Panisson Megha Khosla 34 0 0 28 Oct 2024
Detecting Malicious Accounts in Web3 through Transaction Graph Wenkai Li Zhijie Liu Xiaoqi Li Sen Nie GNN 41 15 0 28 Oct 2024
DHPrep: Deep Hawkes Process based Dynamic Network Representation Ruixuan Han Hongxiang Li Bin Xie 15 0 0 27 Oct 2024
Just Propagate: Unifying Matrix Factorization, Network Embedding, and LightGCN for Link Prediction Haoxin Liu 22 0 0 26 Oct 2024