Graph Attention Auto-Encoders

26 May 2019

Papers citing "Graph Attention Auto-Encoders"

14 / 14 papers shown

Title
Learning Persistent Community Structures in Dynamic Networks via Topological Data Analysis Dexu Kong Anping Zhang Yang Li 28 1 0 06 Jan 2024
Incomplete Contrastive Multi-View Clustering with High-Confidence Guiding Guoqing Chao Yi Jiang Dianhui Chu 31 43 0 14 Dec 2023
Unsupervised Graph Attention Autoencoder for Attributed Networks using K-means Loss Abdelfateh Bekkair Slimane Bellaouar Slimane Oulad-Naoui 16 0 0 21 Nov 2023
Motif-aware Attribute Masking for Molecular Graph Pre-training Eric Inae Gang Liu Meng-Long Jiang AI4CE 40 14 0 08 Sep 2023
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction Yucheng Shi Yushun Dong Qiaoyu Tan Jundong Li Ninghao Liu 40 24 0 18 Aug 2023
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling Haotao Wang Ziyu Jiang Yuning You Yan Han Gaowen Liu Jayanth Srinivasa Ramana Rao Kompella Zhangyang Wang 21 28 0 06 Apr 2023
A Comprehensive Survey on Graph Summarization with Graph Neural Networks Nasrin Shabani Jia Wu Amin Beheshti Quan.Z Sheng Jin Foo Venus Haghighi Ambreen Hanif Maryam Shahabikargar GNN AI4TS 32 12 0 13 Feb 2023
SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking Xiang Li Tiandi Ye Caihua Shan Dongsheng Li Ming Gao SSL 28 30 0 29 Jan 2023
HAT-GAE: Self-Supervised Graph Auto-encoders with Hierarchical Adaptive Masking and Trainable Corruption Chengyu Sun SSL 24 1 0 28 Jan 2023
GraphMAE: Self-Supervised Masked Graph Autoencoders Zhenyu Hou Xiao Liu Yukuo Cen Yuxiao Dong Hongxia Yang C. Wang Jie Tang SSL 42 544 0 22 May 2022
Multilayer Graph Contrastive Clustering Network Liang Liu Zhao Kang Ling Tian Wenbo Xu Xixu He 13 15 0 28 Dec 2021
A Graph Neural Network Approach for Scalable and Dynamic IP Similarity in Enterprise Networks Hazem M. Soliman Geoffrey Salmon Dusan Sovilj M. Rao 14 4 0 09 Oct 2020
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 236 1,811 0 25 Nov 2016
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 216 7,924 0 17 Aug 2015