HD-GCN:A Hybrid Diffusion Graph Convolutional Network

31 March 2023

Papers citing "HD-GCN:A Hybrid Diffusion Graph Convolutional Network"

9 / 9 papers shown

Title
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 309 2,746 0 02 May 2020
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks Wei-Lin Chiang Xuanqing Liu Si Si Yang Li Samy Bengio Cho-Jui Hsieh GNN 147 1,275 0 20 May 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 244 3,182 0 19 Feb 2019
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 225 1,694 0 14 Oct 2018
Attention-based Graph Neural Network for Semi-supervised Learning K. K. Thekumparampil Chong-Jun Wang Sewoong Oh Li Li GNN 76 334 0 10 Mar 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 481 20,225 0 30 Oct 2017
Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural Network Approach Takuo Hamaguchi H. Oiwa Masashi Shimbo Yuji Matsumoto 81 334 0 18 Jun 2017
A Closer Look at Memorization in Deep Networks Devansh Arpit Stanislaw Jastrzebski Nicolas Ballas David M. Krueger Emmanuel Bengio ... Tegan Maharaj Asja Fischer Aaron Courville Yoshua Bengio Simon Lacoste-Julien TDI 125 1,825 0 16 Jun 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 514 15,319 0 07 Jun 2017