node2vec: Scalable Feature Learning for Networks

3 July 2016

Papers citing "node2vec: Scalable Feature Learning for Networks"

50 / 1,006 papers shown

Title
HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding Peng Xia Xingtong Yu Ming Hu Lie Ju Zhiyong Wang Peibo Duan Zongyuan Ge VLM 64 10 0 23 Nov 2023
Towards a more inductive world for drug repurposing approaches Jesús De la Fuente Guillermo Serrano Uxía Veleiro Mikel Casals Laura Vera ... Antonio Pineda-Lucena Idoia Ochoa Silve Vicent Olivier Gevaert Mikel Hernaez 32 0 0 21 Nov 2023
DSCom: A Data-Driven Self-Adaptive Community-Based Framework for Influence Maximization in Social Networks Yuxin Zuo Haojia Sun Yongyi Hu Jianxiong Guo Xiaofeng Gao 17 1 0 18 Nov 2023
Generating Drug Repurposing Hypotheses through the Combination of Disease-Specific Hypergraphs Ayush Jain Marie Charpignon Irene Y. Chen Anthony Philippakis Ahmed M. Alaa 16 0 0 16 Nov 2023
Temporal Graph Representation Learning with Adaptive Augmentation Contrastive Hongjiang Chen Pengfei Jiao Huijun Tang Huaming Wu 26 8 0 07 Nov 2023
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks Jiarong Xu Renhong Huang Xin Jiang Yuxuan Cao Carl Yang Chunping Wang Yang Yang AI4CE 44 14 0 02 Nov 2023
Better Fair than Sorry: Adversarial Missing Data Imputation for Fair GNNs Debolina Halder Lina Arlei Silva 31 0 0 02 Nov 2023
Item-Graph2vec: a Efficient and Effective Approach using Item Co-occurrence Graph Embedding for Collaborative Filtering Ruilin Yuan Leya Li Yuanzhe Cai AI4TS 27 0 0 22 Oct 2023
Node classification in networks via simplicial interactions Eunho Koo Tongseok Lim 33 0 0 16 Oct 2023
Surveying the Landscape of Text Summarization with Deep Learning: A Comprehensive Review Guanghua Wang Weili Wu AI4TS AILaw 40 3 0 13 Oct 2023
Evading Community Detection via Counterfactual Neighborhood Search Andrea Bernini Fabrizio Silvestri Gabriele Tolomei BDL 38 1 0 13 Oct 2023
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions Maziyar Khadivi Todd Charter Marjan Yaghoubi Masoud Jalayer Maryam Ahang Ardeshir Shojaeinasab Homayoun Najjaran 35 11 0 04 Oct 2023
Deep Insights into Noisy Pseudo Labeling on Graph Data Botao Wang Jia Li Yang Liu Jiashun Cheng Yu Rong Wenjia Wang Fugee Tsung NoLa 32 9 0 02 Oct 2023
Navigating Healthcare Insights: A Birds Eye View of Explainability with Knowledge Graphs Satvik Garg Anh Nguyen Somya Garg 31 2 0 28 Sep 2023
Clinical Trial Recommendations Using Semantics-Based Inductive Inference and Knowledge Graph Embeddings M. Devarakonda Smita Mohanty Raja Rao Sunkishala Nag Mallampalli Xiong Liu 29 4 0 27 Sep 2023
From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited Zheng Wang H. Ding L. Pan Jianhua Li Zhiguo Gong Philip S. Yu GNN 31 5 0 24 Sep 2023
Unsupervised Learning via Network-Aware Embeddings Anne Sophie Riis Damstrup Sofie Tosti Madsen Michele Coscia SSL 43 0 0 19 Sep 2023
ECEA: Extensible Co-Existing Attention for Few-Shot Object Detection Zhimeng Xin Tianxu Wu Shiming Chen Yixiong Zou Ling Shao Xinge You 42 4 0 15 Sep 2023
Semi-supervised Domain Adaptation on Graphs with Contrastive Learning and Minimax Entropy Jiaren Xiao Quanyu Dai X. Shen Xiaochen Xie Jing Dai James Lam Ka-Wai Kwok 33 6 0 14 Sep 2023
Domain-adaptive Message Passing Graph Neural Network X. Shen Shirui Pan K. Choi Xiaoping Zhou 38 16 0 31 Aug 2023
Contrastive Representation Learning Based on Multiple Node-centered Subgraphs Dong Li Wenjun Wang Minglai Shao Chen Zhao SSL 30 2 0 31 Aug 2023
A Hybrid Membership Latent Distance Model for Unsigned and Signed Integer Weighted Networks Nikolaos Nakis Abdulkadir Çelikkanat Morten Mørup 36 0 0 29 Aug 2023
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions Zemin Liu Yuan N. Li Nan-Fang Chen Qian Wang Bryan Hooi Bin He FaML 16 13 0 26 Aug 2023
Explicit Time Embedding Based Cascade Attention Network for Information Popularity Prediction Xigang Sun Jingya Zhou Ling Liu Wenqi Wei GNN AI4TS 29 21 0 19 Aug 2023
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction Yucheng Shi Yushun Dong Qiaoyu Tan Jundong Li Ninghao Liu 50 25 0 18 Aug 2023
Effect of Choosing Loss Function when Using T-batching for Representation Learning on Dynamic Networks Erfan Loghmani MohammadAmin Fazli 18 4 0 13 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 29 9 0 09 Aug 2023
Question Answering with Deep Neural Networks for Semi-Structured Heterogeneous Genealogical Knowledge Graphs Omri Suissa M. Zhitomirsky-Geffet Avshalom Elmalech GNN BDL 34 8 0 30 Jul 2023
Analysing the Resourcefulness of the Paragraph for Precedence Retrieval Bhoomeendra Singh Sisodiya N. Unnam P. Reddy Apala Das K. Santhy V. B. Reddy AILaw 9 0 0 29 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 37 2 0 17 Jul 2023
Empowering recommender systems using automatically generated Knowledge Graphs and Reinforcement Learning Ghanshyam Verma Shovon Sengupta Simon Simanta Huan Chen J. Perge Devishree Pillai John P. Mccrae P. Buitelaar OffRL 20 1 0 11 Jul 2023
Digital Twins for Patient Care via Knowledge Graphs and Closed-Form Continuous-Time Liquid Neural Networks Logan Nye AI4CE 32 5 0 08 Jul 2023
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers Alan John Varghese Aniruddha Bora Mengjia Xu George Karniadakis 36 5 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 36 3 0 05 Jul 2023
Random Walk on Multiple Networks Dongsheng Luo Yuchen Bian Yaowei Yan Xiong Yu Jun Huan Xiao Liu Xiang Zhang 33 2 0 04 Jul 2023
Curvature-enhanced Graph Convolutional Network for Biomolecular Interaction Prediction Cong Shen Pingjian Ding Junjie Wee Jialin Bi Jiawei Luo Kelin Xia GNN 14 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 28 11 0 23 Jun 2023
Tailoring Machine Learning for Process Mining Paolo Ceravolo Sylvio Barbon Junior Ernesto Damiani Wil M.P. van der Aalst AI4TS 21 6 0 17 Jun 2023
HomoGCL: Rethinking Homophily in Graph Contrastive Learning Wenzhong Li Changdong Wang Hui Xiong Jian-Huang Lai 36 23 0 16 Jun 2023
Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds Haoran Deng Yang Yang Jiahe Li Haoyang Cai Shi Pu Weihao Jiang 35 5 0 15 Jun 2023
Enhancing Worker Recruitment in Collaborative Mobile Crowdsourcing: A Graph Neural Network Trust Evaluation Approach Zhongwei Zhan Yingjie Wang Peiyong Duan A. Sai Zhaowei Liu Chaocan Xiang Xiangrong Tong Weilong Wang Z. Cai 28 3 0 07 Jun 2023
Who Would be Interested in Services? An Entity Graph Learning System for User Targeting Dan Yang Binbin Hu Xiaoyan Yang Yue Shen Qing Cui Jinjie Gu Guannan Zhang 32 4 0 30 May 2023
Confidence-Based Feature Imputation for Graphs with Partially Known Features Daeho Um Jiwoong Park Seulki Park Jin Young Choi DiffM 27 15 0 26 May 2023
Persistent Laplacian-enhanced Algorithm for Scarcely Labeled Data Classification Gokul Bhusal Ekaterina Merkurjev Guo-Wei Wei 28 1 0 25 May 2023
GraphFC: Customs Fraud Detection with Label Scarcity Karandeep Singh Yu-Che Tsai Cheng-Te Li Meeyoung Cha Shou-de Lin 27 7 0 19 May 2023
Deep Temporal Graph Clustering Meng Liu Yue Liu K. Liang Wenxuan Tu Siwei Wang Sihang Zhou Xinwang Liu 37 48 0 18 May 2023
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks Xinyu Fu Irwin King FedML 43 4 0 16 May 2023
Tight and fast generalization error bound of graph embedding in metric space Atsushi Suzuki Atsushi Nitanda Taiji Suzuki Jing Wang Feng Tian Kenji Yamanishi 23 0 0 13 May 2023
Generating Post-hoc Explanations for Skip-gram-based Node Embeddings by Identifying Important Nodes with Bridgeness Hogun Park Jennifer Neville 14 4 0 24 Apr 2023
ID-MixGCL: Identity Mixup for Graph Contrastive Learning Gehang Zhang Yu Bowen Jiangxia Cao Xinghua Zhang Shuaiyi Nie Chuan Zhou Tingwen Liu 48 0 0 20 Apr 2023