Deep Representation Learning for Social Network Analysis

Deep Representation Learning for Social Network Analysis

18 April 2019

Ninghao Liu

Papers citing "Deep Representation Learning for Social Network Analysis"

10 / 10 papers shown

Title
Marginal Nodes Matter: Towards Structure Fairness in Graphs Xiaotian Han Kaixiong Zhou Ting-Hsiang Wang Jundong Li Fei Wang Na Zou 27 0 0 23 Oct 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
Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation Shuang Zhou Xiao Shi Huang Ninghao Liu Huachi Zhou F. Chung Longhai Huang 36 23 0 18 Jun 2023
Structural Imbalance Aware Graph Augmentation Learning Zulong Liu Kejia Chen Zheng Liu 21 0 0 24 Mar 2023
Graph Contrastive Learning with Personalized Augmentation X. Zhang Qiaoyu Tan Xiao Shi Huang Bo-wen Li 33 15 0 14 Sep 2022
Understanding graph embedding methods and their applications Mengjia Xu 18 128 0 15 Dec 2020
Auto-Keras: An Efficient Neural Architecture Search System Haifeng Jin Qingquan Song Xia Hu 20 793 0 27 Jun 2018
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,235 0 24 Jun 2017
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 239 1,811 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 238 3,236 0 24 Nov 2016