This page is an archive for papers reviewed by members of the Network Science Lab, along with corresponding presentation materials, as part of the NS-CUK Weekly Seminar series. Launched in Fall 2022, this seminar series is intended to be a platform for the members of the Network Science Lab at the Catholic University of Korea to exchange insights and understanding of state-of-the-art AI methodologies and models for graph mining.

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2022

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Dec 7th, 2022

S.T. Nguyen, Review on "Complex Embeddings for Simple Link Prediction", ICML 2016

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Dec 5th, 2022

H.B. Kim, Review on "One-hot Encoding for Deep Learning (Part 2)"

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Nov 30th, 2022

S.T. Nguyen, Review on "Knowledge Graph Embedding by Translating on Hyperplanes", AAAI 2014

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Nov 28th, 2022

H.B. Kim, Review on "One-hot Encoding for Deep Learning"

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Nov 23rd, 2022

S.T. Nguyen, Review on "Learning Role-based Graph Embeddings"

S.M. Lee, Review on "Basic on Graph Mining"

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Nov 21st, 2022

조세은, Review on "Deep Generative Models"

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Nov 16th, 2022

S.T. Nguyen, Review on "Directed Graph Embedding with Asymmetric Transitivity Preservation", AAAI 2019

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Nov 9th, 2022

S.M. Lee, Review on "KNN (K nearest neighbors algorithm)"

S.T. Nguyen, Review on "MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding", PAKDD 2018

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Nov 7th, 2022

조세은, Review on "Applications in Deep Learning"

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Oct 31st, 2022

조세은, Review on "Linear Factor Models"

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Oct 21st, 2022

S.M. Lee, Review on "Sequence Modeling: Recurrent and Recursive Nets and Regularization"

V.T. Hoang, Review on "Autoencoder and Machine Learning basics"