Learning to Make Predictions on Graphs with Autoencoders

23 February 2018

Papers citing "Learning to Make Predictions on Graphs with Autoencoders"

7 / 7 papers shown

Title
PseudoBound: Limiting the anomaly reconstruction capability of one-class classifiers using pseudo anomalies Marcella Astrid M. Zaheer Seung-Ik Lee 26 17 0 19 Mar 2023
3D Neuron Morphology Analysis Jiaxiang Jiang Michael Goebel Cezar Borba William Smith B. S. Manjunath 36 0 0 14 Dec 2022
Deep Learning in Single-Cell Analysis Dylan Molho Jiayuan Ding Zhaoheng Li Haifang Wen Wenzhuo Tang ... P. Danaher Robert Yang Y. Lei Yuying Xie Jiliang Tang 31 23 0 22 Oct 2022
Point2Skeleton: Learning Skeletal Representations from Point Clouds Chu-Hsing Lin Changjian Li Yuan Liu Nenglun Chen Yi-King Choi Wenping Wang 3DPC 28 49 0 01 Dec 2020
Pre-train and Learn: Preserve Global Information for Graph Neural Networks Danhao Zhu Xinyu Dai Jiajun Chen 21 23 0 27 Oct 2019
Exploring Structure-Adaptive Graph Learning for Robust Semi-Supervised Classification Xiang Gao Wei Hu Zongming Guo GNN 20 1 0 23 Apr 2019
A Degeneracy Framework for Scalable Graph Autoencoders Guillaume Salha-Galvan Romain Hennequin Viet-Anh Tran Michalis Vazirgiannis GNN 34 36 0 23 Feb 2019