Deconvolutional Networks on Graph Data

Deconvolutional Networks on Graph Data

29 October 2021

Yang Liu

Papers citing "Deconvolutional Networks on Graph Data"

8 / 8 papers shown

Title
Deep Insights into Noisy Pseudo Labeling on Graph Data Botao Wang Jia Li Yang Liu Jiashun Cheng Yu Rong Wenjia Wang Fugee Tsung NoLa 27 8 0 02 Oct 2023
A Graph Encoder-Decoder Network for Unsupervised Anomaly Detection Mahsa Mesgaran A. Ben Hamza 31 3 0 15 Aug 2023
Decision Support System for Chronic Diseases Based on Drug-Drug Interactions Tian Bian Yuli Jiang Jia Li Tingyang Xu Yu Rong Yi Su Timothy S. H. Kwok H. Meng Hongtao Cheng 19 3 0 04 Mar 2023
Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport Jianheng Tang Weiqi Zhang Jiajin Li Kangfei Zhao Fugee Tsung Jia Li OT 13 18 0 30 Jan 2023
Rethinking Graph Neural Networks for Anomaly Detection Jianheng Tang Jiajin Li Zi-Chao Gao Jia Li 71 205 0 31 May 2022
Learning Graph Structure from Convolutional Mixtures Max Wasserman Saurabh Sihag Gonzalo Mateos Alejandro Ribeiro GNN CML BDL 37 6 0 19 May 2022
Deep Graph Generators: A Survey Faezeh Faez Yassaman Ommi M. Baghshah Hamid R. Rabiee GNN AI4CE 48 57 0 31 Dec 2020
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 224 1,338 0 12 Feb 2018