Pinned Repositories
BSPM
Blurring-Sharpening Process Models for Collaborative Filtering, SIGIR'23
convert-ppt-to-pdf
Batch convert ppt files to pdf files by Automator on MacOS
CV_of_Failures
Jeongwhan's CV of Failures: a (tiny) contribution to academics
dark-mode-switcher
Dark Mode Switcher for macOS Mojave (version 10.14)
GREAD
GREAD: Graph Neural Reaction-Diffusion Networks, ICML 2023
LT-OCF
LT-OCF: Learnable-Time ODE-based Collaborative Filtering, CIKM'21
PANDA
🐼PANDA: Expanded Width-Aware Message Passing Beyond Rewiring, ICML 2024
STG-NCDE
"Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022
STG-NRDE
"Graph Neural Rough Differential Equations for Traffic Forecasting", ACM TIST
yonsei-poster
LaTeX beamer poster template themed for the Yonsei University
jeongwhanchoi's Repositories
jeongwhanchoi/STG-NCDE
"Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022
jeongwhanchoi/PANDA
🐼PANDA: Expanded Width-Aware Message Passing Beyond Rewiring, ICML 2024
jeongwhanchoi/CV_of_Failures
Jeongwhan's CV of Failures: a (tiny) contribution to academics
jeongwhanchoi/Neural-Diffusion-Equation
Climate Modeling with Neural Diffusion Equation, ICDM'21
jeongwhanchoi/BSARec
"An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention", AAAI 2024
jeongwhanchoi/curriculum-vitae
jeongwhanchoi/jeongwhanchoi
jeongwhanchoi/NADE
Climate Modeling with Neural Advection-Diffusion Equation, Springer KAIS
jeongwhanchoi/hcmt
Learning Flexible Body Collision Dynamics with Hierarchical Mesh Transformer, Accepted in ICLR 2024
jeongwhanchoi/ARMA-Attention
jeongwhanchoi/Awesome-AI4CFD
Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey
jeongwhanchoi/cayley_graph_propagation
jeongwhanchoi/CycleNet
[NeurIPS 2024 Spotlight] Official repository of the CycleNet paper: "CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns". This work is developed by the Lab of Professor Weiwei Lin (linww@scut.edu.cn), South China University of Technology; Peng Cheng Laboratory.
jeongwhanchoi/Hawkes-Process-Based-on-Controlled-Differential-Equations
jeongwhanchoi/IPR-MPNN
Implementation for paper "Probabilistic Graph Rewiring via Virtual Nodes", accepted at NeurIPS 2024
jeongwhanchoi/kat
Kolmogorov-Arnold Transformer: A PyTorch Implementation with CUDA kernel
jeongwhanchoi/LightGCNpp
Source code for the RecSys 2024 paper "Revisiting LightGCN: Unexpected Inflexibility, Inconsistency, and A Remedy Towards Improved Recommendation."
jeongwhanchoi/LLMEmb
[arXiv'24] The official implementation code of LLMEmb
jeongwhanchoi/nanoDD
Simple Scalable Discrete Diffusion for text in PyTorch
jeongwhanchoi/Neural-PDE-Solver
jeongwhanchoi/PAD
Precursor-of-Anomaly Detection
jeongwhanchoi/rum
Random walk unit with memory
jeongwhanchoi/SparseTSF
[ICML 2024 Oral] Official repository of the SparseTSF paper: "SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters". This work is developed by the Lab of Professor Weiwei Lin (linww@scut.edu.cn), South China University of Technology; Peng Cheng Laboratory.
jeongwhanchoi/svd-ae
"SVD-AE: Simple Autoencoders for Collaborative Filtering", IJCAI 2024
jeongwhanchoi/tabgraphs
A new benchmark of meaningful tabular datasets with known graph structure
jeongwhanchoi/TimeBridge
TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting
jeongwhanchoi/Torch-Pruning
[CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs
jeongwhanchoi/TPGN
jeongwhanchoi/TSLANet
[ICML 2024] A novel, efficient approach combining convolutional operations with adaptive spectral analysis as a foundation model for different time series tasks
jeongwhanchoi/VisionTS
Code for our paper "VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters".