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

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

25 June 2020
Lukas Galke
Benedikt Franke
Tobias Zielke
A. Scherp
    GNN
    AI4CE
ArXivPDFHTML

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

13 / 13 papers shown
Title
POWN: Prototypical Open-World Node Classification
POWN: Prototypical Open-World Node Classification
Marcel Hoffmann
Lukas Galke
A. Scherp
34
0
0
14 Jun 2024
Towards Robust Graph Incremental Learning on Evolving Graphs
Towards Robust Graph Incremental Learning on Evolving Graphs
Junwei Su
Difan Zou
Zijun Zhang
Chuan Wu
CLL
OOD
35
18
0
20 Feb 2024
Learning Cellular Coverage from Real Network Configurations using GNNs
Learning Cellular Coverage from Real Network Configurations using GNNs
Yifei Jin
Marios Daoutis
Sarunas Girdzijauskas
Aristides Gionis
AI4TS
29
0
0
20 Apr 2023
Continual Graph Learning: A Survey
Continual Graph Learning: A Survey
Qiao Yuan
S. Guan
Pin Ni
Tianlun Luo
Ka Lok Man
Prudence W. H. Wong
Victor I. Chang
CLL
29
14
0
28 Jan 2023
Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces
Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces
Li Sun
Junda Ye
Hao Peng
Feiyang Wang
Philip S. Yu
CLL
19
31
0
30 Nov 2022
BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for
  Graph Continual Learning
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
39
7
0
26 Nov 2022
Online Deep Learning from Doubly-Streaming Data
Online Deep Learning from Doubly-Streaming Data
H. Lian
John Scovil Atwood
Bo-Jian Hou
Jian Wu
Yi He
21
10
0
25 Apr 2022
Graph Lifelong Learning: A Survey
Graph Lifelong Learning: A Survey
F. Febrinanto
Feng Xia
Kristen Moore
Chandra Thapa
Charu C. Aggarwal
CLL
AI4CE
37
51
0
22 Feb 2022
A Comparison of Deep-Learning Methods for Analysing and Predicting
  Business Processes
A Comparison of Deep-Learning Methods for Analysing and Predicting Business Processes
Ishwar Venugopal
Jessica Töllich
Michael Fairbank
A. Scherp
26
30
0
11 Feb 2021
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
189
917
0
02 Mar 2020
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph
  Neural Networks
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
206
747
0
03 Sep 2019
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
279
1,944
0
09 Jun 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
251
1,811
0
25 Nov 2016
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