Adversarial Network Embedding

Adversarial Network Embedding

21 November 2017

Jian Tang

Papers citing "Adversarial Network Embedding"

13 / 13 papers shown

Title
Domain-adaptive Message Passing Graph Neural Network X. Shen Shirui Pan K. Choi Xiaoping Zhou 31 16 0 31 Aug 2023
Using Image Transformations to Learn Network Structure Brayan Ortiz Amitabh Sinha OffRL 17 0 0 06 Dec 2021
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey Benyamin Ghojogh A. Ghodsi Fakhri Karray Mark Crowley GAN 26 12 0 26 Nov 2021
A Prior Guided Adversarial Representation Learning and Hypergraph Perceptual Network for Predicting Abnormal Connections of Alzheimer's Disease Qiankun Zuo Baiying Lei Shuqiang Wang Yong Liu Bingchuan Wang Yanyan Shen OOD MedIm 9 8 0 12 Oct 2021
Network Representation Learning: From Traditional Feature Learning to Deep Learning Ke Sun Lei Wang Bo Xu Wenhong Zhao S. Teng Feng Xia GNN 17 28 0 07 Mar 2021
SIGL: Securing Software Installations Through Deep Graph Learning Xueyuan Han Xiao Yu Thomas Pasquier Ding Li J. Rhee James W. Mickens Margo Seltzer Haifeng Chen 13 49 0 26 Aug 2020
Self-supervised Learning: Generative or Contrastive Xiao Liu Fanjin Zhang Zhenyu Hou Zhaoyu Wang Li Mian Jing Zhang Jie Tang SSL 31 1,586 0 15 Jun 2020
Dynamic Network Embeddings for Network Evolution Analysis Chuanchang Chen Y. Tao Hai Lin 22 7 0 24 Jun 2019
Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy Zhengwei Wang Qi She T. Ward MedIm EGVM 27 90 0 04 Jun 2019
Attacking Graph-based Classification via Manipulating the Graph Structure Binghui Wang Neil Zhenqiang Gong AAML 24 152 0 01 Mar 2019
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure Fuli Feng Xiangnan He Jie Tang Tat-Seng Chua OOD AAML 23 215 0 20 Feb 2019
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 27 1,319 0 11 Dec 2018
Adversarial Attacks on Neural Networks for Graph Data Daniel Zügner Amir Akbarnejad Stephan Günnemann GNN AAML OOD 18 1,053 0 21 May 2018