Lifelong Learning of Graph Neural Networks for Open-World Node Classification

25 June 2020

Papers citing "Lifelong Learning of Graph Neural Networks for Open-World Node Classification"

8 / 8 papers shown

Title
Continual Graph Learning: A Survey Qiao Yuan S. Guan Pin Ni Tianlun Luo Ka Lok Man Prudence W. H. Wong Victor I. Chang CLL 24 14 0 28 Jan 2023
BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for Graph Continual Learning Jihoon Ko Shinhwan Kang Taehyung Kwon Heechan Moon Kijung Shin CLL 21 7 0 26 Nov 2022
Graph Lifelong Learning: A Survey F. Febrinanto Feng Xia Kristen Moore Chandra Thapa Charu C. Aggarwal CLL AI4CE 35 50 0 22 Feb 2022
A Comparison of Deep-Learning Methods for Analysing and Predicting Business Processes Ishwar Venugopal Jessica Töllich Michael Fairbank A. Scherp 21 28 0 11 Feb 2021
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 183 913 0 02 Mar 2020
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li ... J. Zhao Haotong Zhang Alex Smola Jinyang Li Zheng-Wei Zhang AI4CE GNN 186 743 0 03 Sep 2019
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 229 1,935 0 09 Jun 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 234 1,809 0 25 Nov 2016