Attributed Network Embedding for Learning in a Dynamic Environment

6 June 2017

Huan Liu

Papers citing "Attributed Network Embedding for Learning in a Dynamic Environment"

32 / 32 papers shown

Title
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 3 0 09 Mar 2025
Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds Haoran Deng Yang Yang Jiahe Li Haoyang Cai Shi Pu Weihao Jiang 43 5 0 15 Jun 2023
Continual Graph Learning: A Survey Qiao Yuan S. Guan Pin Ni Tianlun Luo Ka Lok Man Prudence W. H. Wong Victor I. Chang CLL 37 14 0 28 Jan 2023
Online Filtering over Expanding Graphs Bishwadeep Das Elvin Isufi 23 4 0 17 Jan 2023
A Frequency-Structure Approach for Link Stream Analysis Esteban Bautista Matthieu Latapy 24 2 0 07 Dec 2022
Semantic Graph Neural Network with Multi-measure Learning for Semi-supervised Classification Jun-Liang Lin Yuan Wan Jingwen Xu X. Qi 36 0 0 04 Dec 2022
Encoder-Decoder Architecture for Supervised Dynamic Graph Learning: A Survey Yuecai Zhu Fuyuan Lyu Chengming Hu X. Chen Xue Liu AI4TS AI4CE 21 20 0 20 Mar 2022
Bi-CLKT: Bi-Graph Contrastive Learning based Knowledge Tracing Xiangyu Song Jianxin Li Qiuyu Lei Wei Zhao Yunliang Chen Ajmal Mian AI4Ed 27 174 0 22 Jan 2022
Using Graph-Theoretic Machine Learning to Predict Human Driver Behavior Rohan Chandra Aniket Bera Tianyi Zhou 54 22 0 04 Nov 2021
Dyn-Backdoor: Backdoor Attack on Dynamic Link Prediction Jinyin Chen Haiyang Xiong Haibin Zheng Jian Zhang Guodong Jiang Yi Liu AAML SILM AI4CE 51 10 0 08 Oct 2021
Recommender systems based on graph embedding techniques: A comprehensive review Yue Deng 46 22 0 20 Sep 2021
Dynamic Graph Collaborative Filtering Xiaohan Li Mengqi Zhang Shu Wu Zheng Liu Liang Wang Philip S. Yu 105 70 0 08 Jan 2021
Understanding graph embedding methods and their applications Mengjia Xu 26 129 0 15 Dec 2020
Federated Dynamic GNN with Secure Aggregation Meng Jiang Taeho Jung Ryan Karl Tong Zhao FedML 16 31 0 15 Sep 2020
Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs Houxiang Fan Binghui Wang Pan Zhou Ang Li Meng Pang Zichuan Xu Cai Fu H. Li Yiran Chen AAML MLAU 22 16 0 01 Sep 2020
Big Networks: A Survey H. D. Bedru Shuo Yu Xinru Xiao Da Zhang Liangtian Wan He Guo Feng Xia AI4CE 22 39 0 09 Aug 2020
Deep Graph Similarity Learning: A Survey Guixiang Ma Nesreen Ahmed Theodore L. Willke Philip S. Yu GNN 21 77 0 25 Dec 2019
Unsupervised Attributed Multiplex Network Embedding Chanyoung Park Donghyun Kim Jiawei Han Hwanjo Yu 35 249 0 15 Nov 2019
GraphRQI: Classifying Driver Behaviors Using Graph Spectrums Rohan Chandra Uttaran Bhattacharya Trisha Mittal Xiaoyu Li Aniket Bera Tianyi Zhou 34 25 0 30 Sep 2019
Temporal Network Embedding with Micro- and Macro-dynamics Yuanfu Lu Tianlin Li C. Shi Philip S. Yu Yanfang Ye AI4TS AI4CE 24 117 0 10 Sep 2019
Variational Graph Recurrent Neural Networks Ehsan Hajiramezanali Arman Hasanzadeh N. Duffield Krishna R. Narayanan Mingyuan Zhou Xiaoning Qian BDL GNN 20 184 0 26 Aug 2019
Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding Ninghao Liu Qiaoyu Tan Yuening Li Hongxia Yang Jingren Zhou Xia Hu 30 86 0 25 May 2019
Deep Representation Learning for Social Network Analysis Qiaoyu Tan Ninghao Liu Xia Hu AI4TS GNN 27 100 0 18 Apr 2019
Node Embedding over Temporal Graphs Uriel Singer Ido Guy Kira Radinsky 14 149 0 21 Mar 2019
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs A. Pareja Giacomo Domeniconi Jie Chen Tengfei Ma Toyotaro Suzumura H. Kanezashi Tim Kaler Tao B. Schardl Charles E. Leisersen GNN 52 1,043 0 26 Feb 2019
AliGraph: A Comprehensive Graph Neural Network Platform Rong Zhu Kun Zhao Hongxia Yang Wei Lin Chang Zhou Baole Ai Yong Li Jingren Zhou GNN 39 386 0 23 Feb 2019
Learning Vertex Representations for Bipartite Networks Ming Gao Xiangnan He Leihui Chen Tingting Liu Jinglin Zhang Aoying Zhou 22 23 0 16 Jan 2019
Learning Graph Embedding with Adversarial Training Methods Shirui Pan Ruiqi Hu S. Fung Guodong Long Jing Jiang Chengqi Zhang GNN GAN 27 282 0 04 Jan 2019
Dynamic Graph Representation Learning via Self-Attention Networks Aravind Sankar Yanhong Wu Liang Gou Wei Zhang Hao Yang GNN 22 119 0 22 Dec 2018
A Survey of Learning Causality with Data: Problems and Methods Ruocheng Guo Lu Cheng Jundong Li P. R. Hahn Huan Liu CML 37 168 0 25 Sep 2018
Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation Jundong Li Liang Wu Huan Liu 8 35 0 26 Aug 2018
Representation Learning over Dynamic Graphs Rakshit S. Trivedi Mehrdad Farajtabar P. Biswal H. Zha AI4TS AI4CE 14 51 0 11 Mar 2018