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CecileLiu Graph Neural Networks
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A study group related to GNN
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Project README
Graph-Neural-Network
Study Group
Weekly-held online study group on GNN papers.
Date
Paper
Speaker
Links
2020/01/19
Relational inductive biases, deep learning, and graph networks
(
code
)
Matt
slides
video
2020/02/02
Graph neural networks a review of methods and applications
JJ
slides
video
2020/02/09
Semi-supervised classification with graph convolutional networks
(
code
)
Kaka
slides
video1
video2
2020/02/16
Deep graph infomax
(
code
)
Sophia
reference1
reference2
2020/02/23
A graph-to-sequence model for AMR-to-text generation
(
code
)
Iris
slides
video
2020/03/08
Review
Sophia & Kaka
resource
2020/03/15
Hierarchical graph-to-graph translation for molecules
(
code
)
Cecile
slide
2020/03/22
Graph neural network for social recommendation
(
code
)
Rebecca
slides
video
2020/04/05
Representation Learning for Attributed Multiplex Heterogeneous Network
(
code
)
Neil
slide
resource
2020/04/12
Graphite: Iterative Generative Modeling of Graphs
(
code
)
Elian
slide
2020/04/19
Session-based recommendation with graph neural networks
(
code
)
Irene
slide
2020/05/03
Review
2020/05/10
Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics
Sidney
slide
2020/05/10
How powerful are graph neural networks
(
code
)
Claire
2020/05/17
Graph neural network for ranking web pages
Lilian
2020/05/24
Review
Open Source Agenda is not affiliated with "CecileLiu Graph Neural Networks" Project. README Source:
CecileLiu/Graph-Neural-Networks
Stars
26
Open Issues
0
Last Commit
4 years ago
Repository
CecileLiu/Graph-Neural-Networks
License
MIT
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