Jin-Duk Park

Talks

Presentation materials on recommender systems, graph learning, and machine learning.

Kolmogorov–Arnold network architecture slide

KAN: Kolmogorov–Arnold Networks

KAN · MLP · Kolmogorov–Arnold representation theorem

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Joint visual and text learning slide

Joint Visual & Text Learning

Multimodal learning · Vision · Natural language

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Graph signal processing and graph filter design slide

Graph Signal Processing & Filter Design

Graph signal processing · Graph filtering

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Physics-informed graph neural network slide

Physics-Informed Graph Neural Networks

Physics-informed learning · Equivariant GNNs

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Heterogeneous graph neural network slide

GNNs for Heterogeneous Graphs

HAN · GTN · Heterogeneous graph embeddings

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Neural network initialization presentation slide

Neural Network Initialization

Xavier initialization · He initialization

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Introduction to recommender systems slide

Introduction to Recommender Systems

Collaborative filtering · Cold start · Matrix factorization

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