node2vec: Scalable Feature Learning for Networks

3 July 2016

Papers citing "node2vec: Scalable Feature Learning for Networks"

50 / 1,006 papers shown

Title
Tensor-Fused Multi-View Graph Contrastive Learning Yujia Wu Junyi Mo Elynn Chen Yuzhou Chen 39 1 0 20 Oct 2024
Context-Enhanced Multi-View Trajectory Representation Learning: Bridging the Gap through Self-Supervised Models Tangwen Qian Junhe Li Yile Chen Gao Cong Tao Sun Fei Wang Yongjun Xu AI4TS 38 3 0 17 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 30 0 0 05 Oct 2024
Simplifying complex machine learning by linearly separable network embedding spaces Alexandros Xenos N. Malod-Dognin Natasa Przulj 32 0 0 02 Oct 2024
A Property Encoder for Graph Neural Networks Anwar Said W. Abbas X. Koutsoukos 37 0 0 17 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 55 2 0 09 Sep 2024
Simbanex: Similarity-based Exploration of IEEE VIS Publications Daniel Witschard Ilir Jusufi Andreas Kerren 26 0 0 31 Aug 2024
Reproducibility Study Of Learning Fair Graph Representations Via Automated Data Augmentations Thijmen Nijdam Juell Sprott Taiki Papandreou-Lazos Jurgen de Heus 29 0 0 31 Aug 2024
DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation Xiaowei Mao Yan Lin Shengnan Guo Yubin Chen Xingyu Xian Haomin Wen Qisen Xu Youfang Lin Huaiyu Wan 47 1 0 23 Aug 2024
SETN: Stock Embedding Enhanced with Textual and Network Information Takehiro Takayanagi Hiroki Sakaji Kiyoshi Izumi AIFin 43 2 0 06 Aug 2024
Contrastive Learning of Asset Embeddings from Financial Time Series Rian Dolphin Barry Smyth Ruihai Dong AI4TS 21 0 0 26 Jul 2024
Learning production functions for supply chains with graph neural networks Serina Chang Zhiyin Lin Benjamin Yan Swapnil Bembde Qi Xiu ... Yu Qin Frank Kloster Alex Luo Raj Palleti J. Leskovec GNN AI4TS 49 1 0 26 Jul 2024
A Geometry-Aware Algorithm to Learn Hierarchical Embeddings in Hyperbolic Space Zhangyu Wang Lantian Xu Zhifeng Kong Weilong Wang Xuyu Peng Enyang Zheng 34 0 0 23 Jul 2024
An Ad-hoc graph node vector embedding algorithm for general knowledge graphs using Kinetica-Graph B. Karamete Eli Glaser 45 0 0 22 Jul 2024
GraphScale: A Framework to Enable Machine Learning over Billion-node Graphs Vipul Gupta Xin Chen Ruoyun Huang Fanlong Meng Jianjun Chen Yujun Yan GNN 38 0 0 22 Jul 2024
Revisiting Random Walks for Learning on Graphs Jinwoo Kim Olga Zaghen Ayhan Suleymanzade Youngmin Ryou Seunghoon Hong 71 0 0 01 Jul 2024
WineGraph: A Graph Representation For Food-Wine Pairing Zuzanna Gawrysiak Agata .Zywot Agnieszka Ławrynowicz 23 2 0 27 Jun 2024
Federated Graph Semantic and Structural Learning Wenke Huang Guancheng Wan Mang Ye Bo Du FedML 36 44 0 27 Jun 2024
Ontology Embedding: A Survey of Methods, Applications and Resources Jiaoyan Chen Olga Mashkova Fernando Zhapa-Camacho Robert Hoehndorf Yuan He Ian Horrocks 52 4 0 16 Jun 2024
OLGA: One-cLass Graph Autoencoder M. Gôlo José Gilberto Barbosa de Medeiros Junior Diego Furtado Silva R. Marcacini 39 0 0 13 Jun 2024
A Survey on Recent Random Walk-based Methods for Embedding Knowledge Graphs Elika Bozorgi Sakher Khalil Alqaiidi Afsaneh Shams H. Arabnia Krzysztof Kochut 39 0 0 11 Jun 2024
Efficient Topology-aware Data Augmentation for High-Degree Graph Neural Networks Dongrui Fan Xiaoyang Lin Renchi Yang Hongtao Wang 46 2 0 08 Jun 2024
GENIE: Watermarking Graph Neural Networks for Link Prediction Venkata Sai Pranav Bachina Ankit Gangwal Aaryan Ajay Sharma Charu Sharma 50 1 0 07 Jun 2024
STEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement Learning Wei Shao Yufan Kang Ziyan Peng Xiao Xiao Lei Wang Yuhui Yang Flora D Salim 48 0 0 06 Jun 2024
Efficient Graph Encoder Embedding for Large Sparse Graphs in Python Xihan Qin Cencheng Shen GNN 40 2 0 06 Jun 2024
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey Ocheme Anthony Ekle William Eberle AI4TS 47 10 0 31 May 2024
Pretrained Mobility Transformer: A Foundation Model for Human Mobility Xinhua Wu Haoyu He Yanchao Wang Qi Wang 41 1 0 29 May 2024
Network Analytics for Anti-Money Laundering -- A Systematic Literature Review and Experimental Evaluation Bruno Deprez Toon Vanderschueren Bart Baesens Tim Verdonck Wouter Verbeke 57 4 0 29 May 2024
Gaussian Control with Hierarchical Semantic Graphs in 3D Human Recovery Hongsheng Wang Weiyue Zhang Sihao Liu Xinrui Zhou Jing Li Zhanyun Tang Shengyu Zhang Fei Wu Feng Lin 56 3 0 21 May 2024
Refined Graph Encoder Embedding via Self-Training and Latent Community Recovery Cencheng Shen Jonathan Larson Ha Trinh Carey E. Priebe 61 2 0 21 May 2024
Chronoblox: Chronophotographic Sequential Graph Visualization Quentin Lobbé Camille Roth Lena Mangold 62 0 0 13 May 2024
Link Stealing Attacks Against Inductive Graph Neural Networks Yixin Wu Xinlei He Pascal Berrang Mathias Humbert Michael Backes Neil Zhenqiang Gong Yang Zhang 47 2 0 09 May 2024
Adaptive Speech Emotion Representation Learning Based On Dynamic Graph Yingxue Gao Huan Zhao Zixing Zhang 43 1 0 07 May 2024
ICST-DNET: An Interpretable Causal Spatio-Temporal Diffusion Network for Traffic Speed Prediction Yi Rong Yingchi Mao Yinqiu Liu Ling Chen Xiaoming He Dusit Niyato DiffM 26 1 0 22 Apr 2024
Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective Victor-Alexandru Darvariu Stephen Hailes Mirco Musolesi AI4CE 53 6 0 09 Apr 2024
Model Selection with Model Zoo via Graph Learning Ziyu Li Hilco van der Wilk Danning Zhan Megha Khosla A. Bozzon Rihan Hai 51 1 0 05 Apr 2024
Semantic-Enhanced Representation Learning for Road Networks with Temporal Dynamics Yile Chen Xiucheng Li Gao Cong Zhifeng Bao Cheng Long 21 2 0 18 Mar 2024
SHAN: Object-Level Privacy Detection via Inference on Scene Heterogeneous Graph Zhuohang Jiang Bingkui Tong Xia Du Ahmed Alhammadi Jizhe Zhou 37 0 0 14 Mar 2024
Node Centrality Approximation For Large Networks Based On Inductive Graph Neural Networks Yiwei Zou Ting Li Zong-fu Luo GNN 45 0 0 08 Mar 2024
CADReN: Contextual Anchor-Driven Relational Network for Controllable Cross-Graphs Node Importance Estimation Zijie Zhong Yunhui Zhang Ziyi Chang Zengchang Qin GNN 33 0 0 06 Feb 2024
GraphViz2Vec: A Structure-aware Feature Generation Model to Improve Classification in GNNs S. Chatterjee Suman Kundu 16 0 0 30 Jan 2024
DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding Representations Jinlu Wang Jipeng Guo Yanfeng Sun Junbin Gao Shaofan Wang Yachao Yang Baocai Yin AI4CE 38 2 0 28 Jan 2024
Product Manifold Representations for Learning on Biological Pathways Daniel McNeela Frederic Sala A. Gitter GNN 77 2 0 27 Jan 2024
Review: Quantum Architecture Search with Unsupervised Representation Learning Yize Sun Zixin Wu Yunpu Ma Volker Tresp 38 0 0 21 Jan 2024
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification Yutong Xia Runpeng Yu Keli Zhang Xavier Bresson Xinchao Wang Roger Zimmermann 44 4 0 18 Jan 2024
Hierarchical Aggregations for High-Dimensional Multiplex Graph Embedding K. Abdous Nairouz Mrabah Mohamed Bouguessa 25 4 0 28 Dec 2023
Learning Scalable Structural Representations for Link Prediction with Bloom Signatures Tianyi Zhang Haoteng Yin Rongzhe Wei Pan Li Anshumali Shrivastava AI4CE 33 1 0 28 Dec 2023
Hypergraph Enhanced Knowledge Tree Prompt Learning for Next-Basket Recommendation Zi-Feng Mai Chang-Dong Wang Zhongjie Zeng Ya Li Jiaquan Chen Philip S. Yu 29 1 0 26 Dec 2023
An FPGA-Based Accelerator for Graph Embedding using Sequential Training Algorithm Kazuki Sunaga Keisuke Sugiura Hiroki Matsutani GNN 24 0 0 23 Dec 2023
RNA-KG: An ontology-based knowledge graph for representing interactions involving RNA molecules Emanuele Cavalleri Alberto Cabri Mauricio Soto Gomez Sara Bonfitto P. Perlasca ... Justin P Reese Peter N. Robinson E. Casiraghi Giorgio Valentini M. Mesiti 19 2 0 30 Nov 2023