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NS-CUK Seminar: V.T.Hoang, Review on "GOAT: A Global Transformer on Large-scale Graphs", PMLR 2023
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NS-CUK Seminar: J.H.Lee, Review on "Graph Propagation Transformer for Graph Representation Learning", IJCAI 2023
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NS-CUK Seminar: H.B.Kim, Review on "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks", KDD 20219
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NS-CUK Seminar: H.E.Lee, Review on "Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks", AAAI 2019
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NS-CUK Seminar:V.T.Hoang, Review on "GRPE: Relative Positional Encoding for Graph Transformer", ICLR 2022
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NS-CUK Seminar: J.H.Lee, Review on "Learnable Structural Semantic Readout for Graph Classification", ICDM 2021
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Aug 22nd, 2023: Case Studies - The Art and Science of Animation Production)
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Aug 17th, 2023: Case Studies - Examining Gamification through Virtual/Augmented Reality (VR/AR)
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Aug 10th, 2023: Case Studies - The Power of eXtended Reality (XR) with 360°
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Aug 8th, 2023: Case Studies - Utilizing eXtended Reality (XR) in Drones)
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NS-CUK Seminar: J.H.Lee, Review on "Learnable Structural Semantic Readout for Graph Classification", ICDM 2021
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NS-CUK Seminar: H.E.Lee, Review on "Gated Graph Sequence Neural Networks", ICLR 2016
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NS-CUK Seminar:V.T.Hoang, Review on "Augmentation-Free Self-Supervised Learning on Graphs", AAAI 2022
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NS-CUK Journal club: H.E.Lee, Review on " A biomedical knowledge graph-based method for drug–drug interactions prediction through combining local and global features with deep neural networks", Bioinformatics 2022
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