Network Science Lab, The Catholic University of Korea
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Personal Information
Unternehmen/Arbeitsplatz
Bucheon, Gyeonggi Korea, South
Branche
Technology / Software / Internet
Webseite
nslab-cuk.github.io/
Info
Network science is a research field about unveiling structural patterns in real-world interaction networks, e.g., social networks, bibliographic networks, power grids, etc. NS Lab, affiliated with the Dept. of AI, CUK, studies a broad range of theories, methodologies, and applications related to collecting, representing, and analyzing networked data.
Tags
ai ethics graph mining pytorch python graph neural network graph neural networks graphmining sd
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Aktuellste Beliebteste SlideShares

230727_HB_JointJournalClub.pptx

Vor 9 Monaten • 39 Aufrufe

S.M.Lee, Invited Talk on "Machine Learning-based Anomaly Detection"

Vor 9 Monaten • 59 Aufrufe

230724_Thuy_Labseminar.pptx

Vor 10 Monaten • 144 Aufrufe

230724-JH-Lab Seminar.pptx

Vor 10 Monaten • 140 Aufrufe

5강 - 멀티모달 및 모듈화.pptx

Vor 10 Monaten • 104 Aufrufe

3강 - CNN 및 이미지 모델.pptx

Vor 10 Monaten • 94 Aufrufe

4강 - RNN 및 시계열 모델.pptx

Vor 10 Monaten • 92 Aufrufe

2강 - 실험 흐름과 멀티모달 개요.pptx

Vor 10 Monaten • 94 Aufrufe

1강 - pytorch와 tensor.pptx

Vor 10 Monaten • 108 Aufrufe

Presentation for "Lecture Quality Prediction using Graph Neural Networks"

Vor 10 Monaten • 23 Aufrufe

NS-CUK Seminar: J.H.Lee, Review on "Graph Neural Networks with convolutional ARMA filters", IEEE Transactions on Pattern Analysis and Machine Intelligence volume 44

Vor 10 Monaten • 168 Aufrufe

NS-CUK Seminar: V.T.Hoang, Review on "Are More Layers Beneficial to Graph Transformers?", International Conference on Learning Representations 2023

Vor 10 Monaten • 172 Aufrufe

NS-CUK Seminar: S.T.Nguyen Review on "Accurate learning of graph representations with graph multiset pooling?", International Conference on Learning Representations 2021

Vor 10 Monaten • 171 Aufrufe

Joo-Ho Lee: Topographic-aware wind forecasting system using multi-modal spatio-temporal graph neural network

Vor 1 Jahr • 108 Aufrufe

Ho-Beom Kim: Detection of Influential Unethical Expressions through Construction of a Spread Graph for Unethical Expression Propagation

Vor 1 Jahr • 106 Aufrufe

NS-CUK Seminar: J.H.Lee, Review on "Hyperbolic graph convolutional neural networks," Advances in neural information processing systems 2019

Vor 1 Jahr • 248 Aufrufe

Sang_Graphormer.pdf

Vor 1 Jahr • 10 Aufrufe

NS-CUK Seminar: S.T.Nguyen, Review on "Do Transformers Really Perform Bad for Graph Representation?," NeurIPS 2021

Vor 1 Jahr • 167 Aufrufe

NS-CUK Seminar: S.T.Nguyen, Review on "DeeperGCN: All You Need to Train Deeper GCNs," arXiv, Mar 6th, 2023

Vor 1 Jahr • 255 Aufrufe

NS-CUK Seminar: V.T.Hoang, Review on "Everything is Connected: Graph Neural Networks," Current Opinion in Structural Biology, Mar 6th, 2023

Vor 1 Jahr • 256 Aufrufe