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CoRGi: Content-Rich Graph Neural Networks with Attention

CoRGi: Content-Rich Graph Neural Networks with Attention

10 October 2021
Jooyeon Kim
A. Lamb
Simon Woodhead
Simon L. Peyton Jones
Cheng Zheng
Miltiadis Allamanis
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Papers citing "CoRGi: Content-Rich Graph Neural Networks with Attention"

35 / 35 papers shown
Title
How to Find Your Friendly Neighborhood: Graph Attention Design with
  Self-Supervision
How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision
Dongkwan Kim
Alice Oh
SSL
GNN
89
260
0
11 Apr 2022
Continual Lifelong Learning in Natural Language Processing: A Survey
Continual Lifelong Learning in Natural Language Processing: A Survey
Magdalena Biesialska
Katarzyna Biesialska
Marta R. Costa-jussá
KELM
CLL
86
220
0
17 Dec 2020
Graph Neural Networks in Recommender Systems: A Survey
Graph Neural Networks in Recommender Systems: A Survey
Shiwen Wu
Fei Sun
Wentao Zhang
Xu Xie
Tengjiao Wang
GNN
132
1,228
0
04 Nov 2020
Handling Missing Data with Graph Representation Learning
Handling Missing Data with Graph Representation Learning
Jiaxuan You
Xiaobai Ma
D. Ding
Mykel Kochenderfer
J. Leskovec
59
178
0
30 Oct 2020
Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning
  in NLP Using Fewer Parameters & Less Data
Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data
Jonathan Pilault
Amine Elhattami
C. Pal
CLL
MoE
45
90
0
19 Sep 2020
Instructions and Guide for Diagnostic Questions: The NeurIPS 2020
  Education Challenge
Instructions and Guide for Diagnostic Questions: The NeurIPS 2020 Education Challenge
Zichao Wang
A. Lamb
Evgeny S. Saveliev
Pashmina Cameron
Yordan Zaykov
...
Richard G. Baraniuk
Craig Barton
Simon L. Peyton Jones
Simon Woodhead
Cheng Zhang
AI4Ed
73
80
0
23 Jul 2020
LightGCN: Simplifying and Powering Graph Convolution Network for
  Recommendation
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
Xiangnan He
Kuan Deng
Xiang Wang
Yan Li
Yongdong Zhang
Meng Wang
GNN
189
3,650
0
06 Feb 2020
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and
  lighter
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Victor Sanh
Lysandre Debut
Julien Chaumond
Thomas Wolf
232
7,504
0
02 Oct 2019
ALBERT: A Lite BERT for Self-supervised Learning of Language
  Representations
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Zhenzhong Lan
Mingda Chen
Sebastian Goodman
Kevin Gimpel
Piyush Sharma
Radu Soricut
SSL
AIMat
363
6,455
0
26 Sep 2019
LAMOL: LAnguage MOdeling for Lifelong Language Learning
LAMOL: LAnguage MOdeling for Lifelong Language Learning
Fan-Keng Sun
Cheng-Hao Ho
Hung-yi Lee
CLL
KELM
85
208
0
07 Sep 2019
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Nils Reimers
Iryna Gurevych
1.3K
12,226
0
27 Aug 2019
Graph Representation Learning via Hard and Channel-Wise Attention
  Networks
Graph Representation Learning via Hard and Channel-Wise Attention Networks
Hongyang Gao
Shuiwang Ji
GNN
46
57
0
05 Jul 2019
Neural Graph Collaborative Filtering
Neural Graph Collaborative Filtering
Xiang Wang
Xiangnan He
Meng Wang
Fuli Feng
Tat-Seng Chua
187
2,981
0
20 May 2019
Missing Data Imputation with Adversarially-trained Graph Convolutional
  Networks
Missing Data Imputation with Adversarially-trained Graph Convolutional Networks
Indro Spinelli
Simone Scardapane
A. Uncini
MedIm
AI4CE
76
150
0
06 May 2019
Inductive Matrix Completion Based on Graph Neural Networks
Inductive Matrix Completion Based on Graph Neural Networks
Muhan Zhang
Yixin Chen
77
236
0
26 Apr 2019
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
240
7,653
0
01 Oct 2018
EDDI: Efficient Dynamic Discovery of High-Value Information with Partial
  VAE
EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE
Chao Ma
Sebastian Tschiatschek
Konstantina Palla
José Miguel Hernández-Lobato
Sebastian Nowozin
Cheng Zhang
71
128
0
28 Sep 2018
GAIN: Missing Data Imputation using Generative Adversarial Nets
GAIN: Missing Data Imputation using Generative Adversarial Nets
Jinsung Yoon
James Jordon
M. Schaar
GAN
56
1,021
0
07 Jun 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
Deep contextualized word representations
Deep contextualized word representations
Matthew E. Peters
Mark Neumann
Mohit Iyyer
Matt Gardner
Christopher Clark
Kenton Lee
Luke Zettlemoyer
NAI
211
11,556
0
15 Feb 2018
Graph Convolutional Matrix Completion
Graph Convolutional Matrix Completion
Rianne van den Berg
Thomas Kipf
Max Welling
GNN
114
1,257
0
07 Jun 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
509
15,247
0
07 Jun 2017
A Deep Reinforced Model for Abstractive Summarization
A Deep Reinforced Model for Abstractive Summarization
Romain Paulus
Caiming Xiong
R. Socher
AI4TS
197
1,558
0
11 May 2017
A Structured Self-attentive Sentence Embedding
A Structured Self-attentive Sentence Embedding
Zhouhan Lin
Minwei Feng
Cicero Nogueira dos Santos
Mo Yu
Bing Xiang
Bowen Zhou
Yoshua Bengio
113
2,139
0
09 Mar 2017
Enriching Word Vectors with Subword Information
Enriching Word Vectors with Subword Information
Piotr Bojanowski
Edouard Grave
Armand Joulin
Tomas Mikolov
NAI
SSL
VLM
229
9,966
0
15 Jul 2016
node2vec: Scalable Feature Learning for Networks
node2vec: Scalable Feature Learning for Networks
Aditya Grover
J. Leskovec
186
10,873
0
03 Jul 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral
  Filtering
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
M. Defferrard
Xavier Bresson
P. Vandergheynst
GNN
347
7,655
0
30 Jun 2016
A Decomposable Attention Model for Natural Language Inference
A Decomposable Attention Model for Natural Language Inference
Ankur P. Parikh
Oscar Täckström
Dipanjan Das
Jakob Uszkoreit
343
1,375
0
06 Jun 2016
Learning Convolutional Neural Networks for Graphs
Learning Convolutional Neural Networks for Graphs
Mathias Niepert
Mohamed Ahmed
Konstantin Kutzkov
GNN
SSL
135
2,154
0
17 May 2016
Convolutional Networks on Graphs for Learning Molecular Fingerprints
Convolutional Networks on Graphs for Learning Molecular Fingerprints
David Duvenaud
D. Maclaurin
J. Aguilera-Iparraguirre
Rafael Gómez-Bombarelli
Timothy D. Hirzel
Alán Aspuru-Guzik
Ryan P. Adams
GNN
221
3,352
0
30 Sep 2015
Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
434
20,553
0
10 Sep 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
23,354
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
Spectral Networks and Locally Connected Networks on Graphs
Spectral Networks and Locally Connected Networks on Graphs
Joan Bruna
Wojciech Zaremba
Arthur Szlam
Yann LeCun
GNN
220
4,876
0
21 Dec 2013
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
394
33,529
0
16 Oct 2013
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