Jeongwhan Choi (jeongwhanchoi)

jeongwhanchoi

Geek Repo

Company:@bigdyl-kaist

Location:Seoul, Korea

Home Page:jeongwhanchoi.me

Twitter:@jeongwhan_choi

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Organizations
bigdyl-kaist
chimera-detector

Jeongwhan Choi's repositories

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CV_of_Failures

Jeongwhan's CV of Failures

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GNN-RAG

GNN-RAG: Graph Neural Retrieval for Large Language Modeling Reasoning

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CatPapers

Cool vision, learning, and graphics papers on Cats!

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Transformers_Are_What_You_Dont_Need

The best repository showing why transformers might not be the answer for time series forecasting and showcasing the best SOTA non transformer models.

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PDF

An official implementation of "Periodicity Decoupling Framework for Long-term Series Forecasting" (ICLR 2024)

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STG-Mamba

Official Implementation of STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space Model.

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llama3-from-scratch

llama3 implementation one matrix multiplication at a time

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WaveGC

Official implement of 'Advancing Graph Convolutional Networks via General Spectral Wavelets'

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awesome-kan

A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.

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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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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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STD-MAE

[IJCAI-24] Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting

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GREAD

GREAD: Graph Neural Reaction-Diffusion Networks, ICML 2023

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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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FourierKAN-mnist

MNIST example using Kolmogorov-Arnold Networks

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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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pykan

Kolmogorov Arnold Networks

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TimeMixer

[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"

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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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non_neg

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

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