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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
Attribute-Enhanced Similarity Ranking for Sparse Link Prediction João Mattos Zexi Huang Mert Kosan Ambuj Singh A. Silva 173 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 112 8 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 157 3 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 118 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 115 5 0 23 Nov 2024
Scalable Deep Metric Learning on Attributed Graphs Xiang Li G. Agrawal R. Jin R. Ramnath 145 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 143 2 0 15 Nov 2024
Variational Graph Contrastive Learning Shifeng Xie Jhony H. Giraldo 75 1 0 11 Nov 2024
Enhancing Financial Fraud Detection with Human-in-the-Loop Feedback and Feedback Propagation Prashank Kadam 102 0 0 07 Nov 2024
Financial Fraud Detection using Jump-Attentive Graph Neural Networks Prashank Kadam GNN 63 1 0 07 Nov 2024
Assessing and Enhancing Graph Neural Networks for Combinatorial Optimization: Novel Approaches and Application in Maximum Independent Set Problems Chenchuhui Hu 81 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 44 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 118 10 0 03 Nov 2024
Negative-Free Self-Supervised Gaussian Embedding of Graphs Yunhui Liu Tieke He Tao Zheng Jianhua Zhao SSL 99 2 0 02 Nov 2024
Node Regression on Latent Position Random Graphs via Local Averaging Martin Gjorgjevski Nicolas Keriven Simon Barthelmé Yohann De Castro 43 1 0 29 Oct 2024
Disentangled and Self-Explainable Node Representation Learning Simone Piaggesi Andre' Panisson Megha Khosla 79 0 0 28 Oct 2024
Detecting Malicious Accounts in Web3 through Transaction Graph Wenkai Li Zhijie Liu Xiaoqi Li Sen Nie GNN 69 23 0 28 Oct 2024
DHPrep: Deep Hawkes Process based Dynamic Network Representation Ruixuan Han Hongxiang Li Bin Xie 59 0 0 27 Oct 2024
Just Propagate: Unifying Matrix Factorization, Network Embedding, and LightGCN for Link Prediction Haoxin Liu 34 0 0 26 Oct 2024
Convergence Guarantees for the DeepWalk Embedding on Block Models Christopher Harker Aditya Bhaskara 63 0 0 26 Oct 2024
Perturbation-based Graph Active Learning for Weakly-Supervised Belief Representation Learning Dachun Sun Ruijie Wang Jinning Li Ruipeng Han Xinyi Liu You Lyu Tarek Abdelzaher 78 0 0 24 Oct 2024
Gene-Metabolite Association Prediction with Interactive Knowledge Transfer Enhanced Graph for Metabolite Production Kexuan Xin Q. Wang Junyu Chen Pengfei Yu Huimin Zhao Heng Ji 89 0 0 24 Oct 2024
Focus Where It Matters: Graph Selective State Focused Attention Networks Shikhar Vashistha Neetesh Kumar 64 0 0 21 Oct 2024
Adversarial Training: A Survey Mengnan Zhao Lihe Zhang Jingwen Ye Huchuan Lu Baocai Yin Xinchao Wang AAML 91 1 0 19 Oct 2024
Federated Temporal Graph Clustering Yang Liu Zhenhong Zhou Xianghong Xu Yue Liu FedML 165 0 0 16 Oct 2024
SpeGCL: Self-supervised Graph Spectrum Contrastive Learning without Positive Samples Yuntao Shou Xiangyong Cao Deyu Meng 120 10 0 14 Oct 2024
Scalable Weibull Graph Attention Autoencoder for Modeling Document Networks Changbo Wang Xinyang Liu Dongsheng Wang Hao Zhang Bo Chen Mingyuan Zhou BDL 79 0 0 13 Oct 2024
Text Classification using Graph Convolutional Networks: A Comprehensive Survey Syed Mustafa Haider Rizvi Ramsha Imran Arif Mahmood GNN OOD FaML 64 2 0 12 Oct 2024
When Graph meets Multimodal: Benchmarking and Meditating on Multimodal Attributed Graphs Learning Hao Yan Cuiping Li Zhigang Yu Jun Yin Ruochen Liu Peiyan Zhang Weihao Han Mingzheng Li Zhengxin Zeng 71 1 0 11 Oct 2024
Privately Learning from Graphs with Applications in Fine-tuning Large Language Models Haoteng Yin Rongzhe Wei Eli Chien P. Li 104 1 0 10 Oct 2024
InstructG2I: Synthesizing Images from Multimodal Attributed Graphs Bowen Jin Ziqi Pang Bingjun Guo Yu-Xiong Wang Jiaxuan You Jiawei Han DiffM 104 2 0 09 Oct 2024
Enhancing Future Link Prediction in Quantum Computing Semantic Networks through LLM-Initiated Node Features Gilchan Park Paul Baity Byung-Jun Yoon Adolfy Hoisie 123 0 0 05 Oct 2024
TopER: Topological Embeddings in Graph Representation Learning Astrit Tola Funmilola Mary Taiwo Cüneyt Gürcan Akçora Baris Coskunuzer 78 0 0 02 Oct 2024
Simplifying complex machine learning by linearly separable network embedding spaces Alexandros Xenos N. Malod-Dognin Natasa Przulj 64 0 0 02 Oct 2024
Graph-Based Representation Learning of Neuronal Dynamics and Behavior M. Khajehnejad Forough Habibollahi Ahmad Khajehnejad Chris French Brett J. Kagan Adeel Razi 107 0 0 01 Oct 2024
Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models Xin Sky Li Weize Chen Qizhi Chu Haopeng Li Zhaojun Sun ... Yiwei Wei Zhiyuan Liu Chuan Shi Maosong Sun Cheng Yang 133 6 0 29 Sep 2024
Convolutional Signal Propagation: A Simple Scalable Algorithm for Hypergraphs Pavel Procházka Marek Dědič Lukáš Bajer GNN 60 0 0 26 Sep 2024
FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN Training at Large Scale Zeyu Zhu Peisong Wang Qinghao Hu Gang Li Xiaoyao Liang Jian Cheng GNN 75 2 0 23 Sep 2024
TabGraphs: A Benchmark and Strong Baselines for Learning on Graphs with Tabular Node Features Gleb Bazhenov Oleg Platonov Liudmila Prokhorenkova LMTD 79 1 0 22 Sep 2024
A Generative Framework for Predictive Modeling of Multiple Chronic Conditions Using Graph Variational Autoencoder and Bandit-Optimized Graph Neural Network Julian Carvajal Rico A. Alaeddini Syed Hasib Akhter Faruqui S. Fisher-Hoch J. McCormick 295 0 0 20 Sep 2024
KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning Junnan Liu Qianren Mao Weifeng Jiang Jianxin Li 75 1 0 19 Sep 2024
PropEnc: A Property Encoder for Graph Neural Networks Anwar Said W. Abbas X. Koutsoukos 109 0 0 17 Sep 2024
Multiplex Graph Contrastive Learning with Soft Negatives Zhenhao Zhao Minhong Zhu Chen Wang Sijia Wang Jiqiang Zhang Li Chen Weiran Cai 69 0 0 12 Sep 2024
Enhancing Cross-Market Recommendation System with Graph Isomorphism Networks: A Novel Approach to Personalized User Experience Sumeyye Ozturk Ahmed Burak Ercan Resul Tugay Şule Gündüz Öğüdücü 53 1 0 12 Sep 2024
HyperSMOTE: A Hypergraph-based Oversampling Approach for Imbalanced Node Classifications Ziming Zhao Tiehua Zhang Zijian Yi Zhishu Shen 90 0 0 09 Sep 2024
Ethereum Fraud Detection via Joint Transaction Language Model and Graph Representation Learning Yifan Jia Yanbin Wang Jianguo Sun Yiwei Liu Zhang Sheng Ye Tian 210 5 0 09 Sep 2024
When Heterophily Meets Heterogeneous Graphs: Latent Graphs Guided Unsupervised Representation Learning Zhixiang Shen Zhao Kang 95 5 0 01 Sep 2024
RGDA-DDI: Residual graph attention network and dual-attention based framework for drug-drug interaction prediction Changjian Zhou Xin Zhang Jiafeng Li Jia Song Wensheng Xiang 57 0 0 27 Aug 2024
Graph and Sequential Neural Networks in Session-based Recommendation: A Survey Zihao Li Chao Yang Yakun Chen Xianzhi Wang Hongxu Chen Guandong Xu Lina Yao Quan Z. Sheng GNN 47 10 0 27 Aug 2024
Towards Graph Prompt Learning: A Survey and Beyond Qingqing Long Yuchen Yan Peiyan Zhang Chen Fang Wentao Cui ... Shiyue Jiang Zheng Fang Chong Chen Xian-Sheng Hua Yuanchun Zhou AI4CE 92 1 0 26 Aug 2024