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Graph Lifelong Learning: A Survey

Graph Lifelong Learning: A Survey

22 February 2022
F. Febrinanto
Feng Xia
Kristen Moore
Chandra Thapa
Charu C. Aggarwal
    CLL
    AI4CE
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Papers citing "Graph Lifelong Learning: A Survey"

35 / 85 papers shown
Title
Graph networks as learnable physics engines for inference and control
Graph networks as learnable physics engines for inference and control
Alvaro Sanchez-Gonzalez
N. Heess
Jost Tobias Springenberg
J. Merel
Martin Riedmiller
R. Hadsell
Peter W. Battaglia
GNN
AI4CE
PINN
OCL
199
599
0
04 Jun 2018
Lifelong Learning of Spatiotemporal Representations with Dual-Memory
  Recurrent Self-Organization
Lifelong Learning of Spatiotemporal Representations with Dual-Memory Recurrent Self-Organization
G. I. Parisi
Jun Tani
C. Weber
S. Wermter
CLL
44
130
0
28 May 2018
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal
  Graphs
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs
Jiani Zhang
Xingjian Shi
Junyuan Xie
Hao Ma
Irwin King
Dit-Yan Yeung
GNN
103
573
0
20 Mar 2018
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
Jiaxuan You
Rex Ying
Xiang Ren
William L. Hamilton
J. Leskovec
GNN
BDL
116
848
0
24 Feb 2018
Continual Lifelong Learning with Neural Networks: A Review
Continual Lifelong Learning with Neural Networks: A Review
G. I. Parisi
Ronald Kemker
Jose L. Part
Christopher Kanan
S. Wermter
KELM
CLL
182
2,886
0
21 Feb 2018
Online Learning: A Comprehensive Survey
Online Learning: A Comprehensive Survey
Guosheng Lin
Doyen Sahoo
Jing Lu
P. Zhao
OffRL
60
644
0
08 Feb 2018
Modeling polypharmacy side effects with graph convolutional networks
Modeling polypharmacy side effects with graph convolutional networks
Marinka Zitnik
Monica Agrawal
J. Leskovec
GNN
116
1,083
0
02 Feb 2018
FastGCN: Fast Learning with Graph Convolutional Networks via Importance
  Sampling
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling
Jie Chen
Tengfei Ma
Cao Xiao
GNN
141
1,513
0
30 Jan 2018
Riemannian Walk for Incremental Learning: Understanding Forgetting and
  Intransigence
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence
Arslan Chaudhry
P. Dokania
Thalaiyasingam Ajanthan
Philip Torr
CLL
99
1,139
0
30 Jan 2018
Lifelong Learning for Sentiment Classification
Lifelong Learning for Sentiment Classification
Zhiyuan Chen
Nianzu Ma
Bing-Quan Liu
CLL
58
157
0
09 Jan 2018
A Novel Embedding Model for Knowledge Base Completion Based on
  Convolutional Neural Network
A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network
Dai Quoc Nguyen
T. Nguyen
Dat Quoc Nguyen
Dinh Q. Phung
3DV
75
703
0
06 Dec 2017
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
468
20,124
0
30 Oct 2017
A Comprehensive Survey of Graph Embedding: Problems, Techniques and
  Applications
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications
Hongyun Cai
V. Zheng
Kevin Chen-Chuan Chang
AI4TS
95
1,794
0
22 Sep 2017
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework
  for Traffic Forecasting
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
Ting Yu
Haoteng Yin
Zhanxing Zhu
GNN
AI4TS
112
3,712
0
14 Sep 2017
Lifelong Learning with Dynamically Expandable Networks
Lifelong Learning with Dynamically Expandable Networks
Jaehong Yoon
Eunho Yang
Jeongtae Lee
Sung Ju Hwang
CLL
121
1,222
0
04 Aug 2017
A Survey on Multi-Task Learning
A Survey on Multi-Task Learning
Yu Zhang
Qiang Yang
AIMat
600
2,228
0
25 Jul 2017
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via
  Ranking
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking
Aleksandar Bojchevski
Stephan Günnemann
BDL
83
644
0
12 Jul 2017
Convolutional 2D Knowledge Graph Embeddings
Convolutional 2D Knowledge Graph Embeddings
Tim Dettmers
Pasquale Minervini
Pontus Stenetorp
Sebastian Riedel
GNN
3DV
183
2,615
0
05 Jul 2017
Gradient Episodic Memory for Continual Learning
Gradient Episodic Memory for Continual Learning
David Lopez-Paz
MarcÁurelio Ranzato
VLM
CLL
121
2,711
0
26 Jun 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
492
15,232
0
07 Jun 2017
CORe50: a New Dataset and Benchmark for Continuous Object Recognition
CORe50: a New Dataset and Benchmark for Continuous Object Recognition
Vincenzo Lomonaco
Davide Maltoni
177
493
0
09 May 2017
Overcoming catastrophic forgetting in neural networks
Overcoming catastrophic forgetting in neural networks
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
...
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
CLL
354
7,504
0
02 Dec 2016
iCaRL: Incremental Classifier and Representation Learning
iCaRL: Incremental Classifier and Representation Learning
Sylvestre-Alvise Rebuffi
Alexander Kolesnikov
G. Sperl
Christoph H. Lampert
CLL
OOD
139
3,755
0
23 Nov 2016
Variational Graph Auto-Encoders
Variational Graph Auto-Encoders
Thomas Kipf
Max Welling
GNN
BDL
SSL
CML
151
3,584
0
21 Nov 2016
Deep Reinforcement Learning for Robotic Manipulation with Asynchronous
  Off-Policy Updates
Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates
S. Gu
E. Holly
Timothy Lillicrap
Sergey Levine
OffRL
SSL
114
1,480
0
03 Oct 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
614
29,032
0
09 Sep 2016
node2vec: Scalable Feature Learning for Networks
node2vec: Scalable Feature Learning for Networks
Aditya Grover
J. Leskovec
186
10,863
0
03 Jul 2016
Learning without Forgetting
Learning without Forgetting
Zhizhong Li
Derek Hoiem
CLL
OOD
SSL
292
4,402
0
29 Jun 2016
Progressive Neural Networks
Progressive Neural Networks
Andrei A. Rusu
Neil C. Rabinowitz
Guillaume Desjardins
Hubert Soyer
J. Kirkpatrick
Koray Kavukcuoglu
Razvan Pascanu
R. Hadsell
CLL
AI4CE
77
2,446
0
15 Jun 2016
Structural-RNN: Deep Learning on Spatio-Temporal Graphs
Structural-RNN: Deep Learning on Spatio-Temporal Graphs
Ashesh Jain
Amir Zamir
Silvio Savarese
Ashutosh Saxena
GNN
137
1,093
0
17 Nov 2015
Deep Convolutional Networks on Graph-Structured Data
Deep Convolutional Networks on Graph-Structured Data
Mikael Henaff
Joan Bruna
Yann LeCun
GNN
155
1,587
0
16 Jun 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,039
0
22 Dec 2014
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
1.0K
23,344
0
03 Jun 2014
DeepWalk: Online Learning of Social Representations
DeepWalk: Online Learning of Social Representations
Bryan Perozzi
Rami Al-Rfou
Steven Skiena
HAI
254
9,789
0
26 Mar 2014
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
392
33,521
0
16 Oct 2013
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