Jeongwhan Choi (jeongwhanchoi)

jeongwhanchoi

Geek Repo

Company:@bigdyl-kaist

Location:Seoul, Korea

Home Page:jeongwhanchoi.me

Twitter:@jeongwhan_choi

Github PK Tool:Github PK Tool


Organizations
bigdyl-kaist
chimera-detector

Jeongwhan Choi's repositories

STG-NCDE

"Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022

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BSPM

Blurring-Sharpening Process Models for Collaborative Filtering, SIGIR'23

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GREAD

GREAD: Graph Neural Reaction-Diffusion Networks, ICML 2023

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one-shot-optimization

This is the repository of our accepted CIKM 2022 paper "Prediction-based One-shot Dynamic Parking Pricing".

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Adaptive-Message-Passing

Official Repository of Adaptive Message Passing

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BracketGraphs

Code accompanying "Reversible and irreversible bracket-based dynamics for deep graph neural networks" NeurIPS 2023 paper.

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CV_of_Failures

Jeongwhan's CV of Failures

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Graph-ViT-MLPMixer

Repository for Graph ViT/MLP-Mixer

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hcmt

Learning Flexible Body Collision Dynamics with Hierarchical Mesh Transformer, Accepted in ICLR 2024

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HodgeRandomWalk

Official repository of NeurIPS 2023 paper - Facilitating Graph Neural Networks with Random Walk on Simplicial Complexes

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iTransformer

Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah

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safari

Convolutions for Sequence Modeling

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TabPFN

Official implementation of the TabPFN paper (https://arxiv.org/abs/2207.01848) and the tabpfn package.

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TimeMachine

TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting

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Awesome-Graph-Research-ICLR2024

It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR) in 2024.

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challenge-icml-2024

Official repository for the ICML 2024 Topological Deep Learning Challenge, hosted by the Geometry-grounded Representation Learning and Generative Modeling (GRaM) Workshop at ICML.

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ChebyKAN

Kolmogorov-Arnold Networks (KAN) using Chebyshev polynomials instead of B-splines.

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FCN-KAN

Kolmogorov–Arnold Networks with modified activation (using FCN to represent the activation)

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FourierKAN-mnist

MNIST example using Kolmogorov-Arnold Networks

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FusedFourierKAN

C++ and Cuda ops for fused FourierKAN

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kan-ode

Rough experiments on using Kolmogorov-Arnold Networks (KANs) as the replacement layers in a latent dynamics function, e.g. as the layers of a neural ODE.

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neural-k-forms

Simplicial Representation Learning with Neural k-Forms

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non_neg

Official Code for ICLR 2024 Paper: Non-negative Contrastive Learning

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pykan

Kolmogorov Arnold Networks

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