Network Representation Learning: A Survey

4 December 2017

Papers citing "Network Representation Learning: A Survey"

50 / 61 papers shown

Title
Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Mao Wang Tao Wu Xingping Xian Shaojie Qiao Weina Niu Canyixing Cui 34 0 0 23 Apr 2025
Deep Cut-informed Graph Embedding and Clustering Zhiyuan Ning Zaitian Wang Ran Zhang Ping Xu Kunpeng Liu ... Chong Chen Pengfei Wang Yuanchun Zhou Erik Cambria Chong Chen GNN 76 2 0 09 Mar 2025
Knowledge Augmentation in Federation: Rethinking What Collaborative Learning Can Bring Back to Decentralized Data Wentai Wu Ligang He Saiqin Long Ahmed M. Abdelmoniem Yingliang Wu Rui Mao 60 0 0 05 Mar 2025
Simbanex: Similarity-based Exploration of IEEE VIS Publications Daniel Witschard Ilir Jusufi Andreas Kerren 21 0 0 31 Aug 2024
Towards the Inferrence of Structural Similarity of Combinatorial Landscapes Mingyu Huang Ke Li 31 0 0 05 Dec 2023
A Hybrid Membership Latent Distance Model for Unsigned and Signed Integer Weighted Networks Nikolaos Nakis Abdulkadir Çelikkanat Morten Mørup 33 0 0 29 Aug 2023
A Comprehensive Survey of Dataset Distillation Shiye Lei Dacheng Tao DD 31 88 0 13 Jan 2023
BiaScope: Visual Unfairness Diagnosis for Graph Embeddings Agapi Rissaki Bruno Scarone David Liu Aditeya Pandey Brennan Klein Tina Eliassi-Rad M. Borkin FaML 21 6 0 12 Oct 2022
Deep Clustering: A Comprehensive Survey Yazhou Ren Jingyu Pu Zhimeng Yang Jie Xu Guofeng Li X. Pu Philip S. Yu Lifang He HAI 43 100 0 09 Oct 2022
Machine Learning Partners in Criminal Networks Diego D. Lopes B. R. D. Cunha Alvaro F. Martins S. Gonçalves E. Lenzi Q. Hanley M. Perc H. V. Ribeiro 21 22 0 07 Sep 2022
Controllable Data Generation by Deep Learning: A Review Shiyu Wang Yuanqi Du Xiaojie Guo Bo Pan Zhaohui Qin Liang Zhao 33 28 0 19 Jul 2022
MSR: Making Self-supervised learning Robust to Aggressive Augmentations Ying-Long Bai Erkun Yang Zhaoqing Wang Yuxuan Du Bo Han Cheng Deng Dadong Wang Tongliang Liu SSL 28 3 0 04 Jun 2022
Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey Kento Nozawa Issei Sato AI4TS 21 4 0 18 Apr 2022
Reinforcement learning on graphs: A survey Mingshuo Nie Dongming Chen Dongqi Wang 39 45 0 13 Apr 2022
A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations Nikolaos Nakis Abdulkadir Çelikkanat Sune Lehmann Morten Mørup 16 7 0 12 Apr 2022
Understanding microbiome dynamics via interpretable graph representation learning K. Melnyk Kuba Weimann Tim Conrad 24 5 0 02 Mar 2022
Representation Learning on Heterostructures via Heterogeneous Anonymous Walks X. Guo Pengfei Jiao Ting Pan Wang Zhang Mengyu Jia Danyang Shi Wenjun Wang 27 1 0 18 Jan 2022
Graph Structure Learning with Variational Information Bottleneck Qingyun Sun Jianxin Li Hao Peng Jia Wu Xingcheng Fu Cheng Ji Philip S. Yu 41 154 0 16 Dec 2021
Survey of Generative Methods for Social Media Analysis Stan Matwin Aristides Milios P. Prałat Amílcar Soares Franccois Théberge 27 3 0 13 Dec 2021
Community detection using low-dimensional network embedding algorithms Aman Barot S. Bhamidi Souvik Dhara 8 8 0 04 Nov 2021
Scalable Graph Embedding LearningOn A Single GPU Azita Nouri Philip E. Davis P. Subedi M. Parashar GNN 33 1 0 13 Oct 2021
Harnessing the Power of Ego Network Layers for Link Prediction in Online Social Networks Mustafa Toprak C. Boldrini A. Passarella M. Conti 11 16 0 19 Sep 2021
HMSG: Heterogeneous Graph Neural Network based on Metapath Subgraph Learning Xinjun Cai Jiaxing Shang Fei Hao Dajiang Liu Linjiang Zheng 29 19 0 07 Sep 2021
Unsupervised Domain-adaptive Hash for Networks Tao He Lianli Gao Jingkuan Song Yuan-Fang Li 23 1 0 20 Aug 2021
Progressive Class-based Expansion Learning For Image Classification Hui Wang Hanbin Zhao Xi Li 22 0 0 28 Jun 2021
Multiple Kernel Representation Learning on Networks Abdulkadir Çelikkanat Yanning Shen Fragkiskos D. Malliaros 13 5 0 09 Jun 2021
Price graphs: Utilizing the structural information of financial time series for stock prediction Junran Wu Ke Xu Xueyuan Chen Shangzhe Li Jichang Zhao AI4TS AIFin 30 53 0 04 Jun 2021
FedGL: Federated Graph Learning Framework with Global Self-Supervision Chuan Chen Weibo Hu Ziyue Xu Zibin Zheng FedML 27 54 0 07 May 2021
DeepViT: Towards Deeper Vision Transformer Daquan Zhou Bingyi Kang Xiaojie Jin Linjie Yang Xiaochen Lian Zihang Jiang Qibin Hou Jiashi Feng ViT 42 510 0 22 Mar 2021
Network Representation Learning: From Traditional Feature Learning to Deep Learning Ke Sun Lei Wang Bo Xu Wenhong Zhao S. Teng Feng Xia GNN 25 28 0 07 Mar 2021
Persistent Homology and Graphs Representation Learning Mustafa Hajij Ghaza Zamzmi X. Cai 43 5 0 25 Feb 2021
AttrE2vec: Unsupervised Attributed Edge Representation Learning Piotr Bielak Tomasz Kajdanowicz Nitesh V. Chawla SSL 34 13 0 29 Dec 2020
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources Xiao Wang Deyu Bo C. Shi Shaohua Fan Yanfang Ye Philip S. Yu AI4TS 38 294 0 30 Nov 2020
Incorporating Symbolic Domain Knowledge into Graph Neural Networks T. Dash A. Srinivasan L. Vig NAI 33 25 0 23 Oct 2020
Graph Learning for Combinatorial Optimization: A Survey of State-of-the-Art Yun Peng Byron Choi Jianliang Xu 25 5 0 26 Aug 2020
A Survey on Concept Factorization: From Shallow to Deep Representation Learning Zhao Zhang Yan Zhang Mingliang Xu Li Zhang Yi Yang Shuicheng Yan 24 30 0 31 Jul 2020
METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams Amila Silva S. Karunasekera C. Leckie Ling Luo AI4TS 24 2 0 23 Jul 2020
General-Purpose User Embeddings based on Mobile App Usage Junqi Zhang Bing Bai Ye Lin Jian Liang Kun Bai Fei Wang 32 35 0 27 May 2020
Machine Learning on Graphs: A Model and Comprehensive Taxonomy Ines Chami Sami Abu-El-Haija Bryan Perozzi Christopher Ré Kevin Patrick Murphy 22 285 0 07 May 2020
Benchmarking Network Embedding Models for Link Prediction: Are We Making Progress? Alexandru Mara Jefrey Lijffijt T. D. Bie 40 22 0 25 Feb 2020
ExEm: Expert Embedding using dominating set theory with deep learning approaches Narjes Nikzad Khasmakhi M. Balafar M. Feizi-Derakhshi C. Motamed 21 18 0 16 Jan 2020
Predicting Attributes of Nodes Using Network Structure Sarwan Ali M. Shakeel Imdadullah Khan S. Faizullah Muhammad Asad Khan GNN 13 31 0 27 Dec 2019
Multi-Label Graph Convolutional Network Representation Learning Min Shi Yufei Tang Xingquan Zhu Jianxun Liu 28 23 0 26 Dec 2019
Feature-Attention Graph Convolutional Networks for Noise Resilient Learning Min Shi Yufei Tang Xingquan Zhu Jianxun Liu GNN 28 11 0 26 Dec 2019
Deep Graph Similarity Learning: A Survey Guixiang Ma Nesreen Ahmed Theodore L. Willke Philip S. Yu GNN 21 77 0 25 Dec 2019
Effective Decoding in Graph Auto-Encoder using Triadic Closure Han Shi Haozheng Fan James T. Kwok AI4CE 14 39 0 26 Nov 2019
GraphZoom: A multi-level spectral approach for accurate and scalable graph embedding Chenhui Deng Zhiqiang Zhao Yongyu Wang Zhiru Zhang Zhuo Feng 32 105 0 06 Oct 2019
Universal Graph Transformer Self-Attention Networks Dai Quoc Nguyen T. Nguyen Dinh Q. Phung ViT 34 63 0 26 Sep 2019
On Proximity and Structural Role-based Embeddings in Networks: Misconceptions, Techniques, and Applications Ryan A. Rossi Di Jin Sungchul Kim Nesreen Ahmed Danai Koutra J. B. Lee 27 38 0 22 Aug 2019
Network Embedding: on Compression and Learning Esra Akbas M. E. Aktas GNN 21 9 0 05 Jul 2019