jeongwhanchoi

Autoformer

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

DANet

DANets (a family of neural networks) for tabular data classification/ regression.

neural_stpp

Deep generative modeling for time-stamped heterogeneous data, enabling high-fidelity models for a large variety of spatio-temporal domains.

docs

The open-source repo for docs.github.com

learnable_fourier_positional_encoding

Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding

CAW

DGC

Official Code of Decoupled Graph Convolution (DGC)

neural-flows-experiments

Experiments for Neural Flows paper

GDN

Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series" (AAAI 2021)

Non-Homophily-Benchmarks

[WWW 2021 GLB] New Benchmarks for Learning on Non-Homophilous Graphs

Inductive-representation-learning-on-temporal-graphs

BernNet

PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"

GCN_LogsigRNN

SubTab

The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"

Neural-Diffusion-Equation

Climate Modeling with Neural Diffusion Equation, ICDM'21

TisODE

On Robustness of Neural Ordinary Differential Equations

torchcde

Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.

awesome-survey-papers

A collection of Survey Papers in Machine Learning

morphogenesis-resources

Comprehensive list of resources on the topic of digital morphogenesis (the creation of form through code). Includes links to major articles, code repos, creative projects, books, software, and more.

Physics-Based-Deep-Learning

Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond

DL4DisassortativeGraphs

Papers about developing DL methods on disassortative graphs

homophily-and-heterophily-in-gnn

Reading list of papers (basically are conference papers) about homophily and heterophily in GNNs.

fast-transformer-pytorch

Implementation of Fast Transformer in Pytorch

coRNN

Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)

TIGER

Python toolbox to evaluate graph vulnerability and robustness (CIKM 2021)

STGODE

Spatial-Temporal Graph ODE Neural Network

Z-GCNETs

neural-structural-optimization

Neural reparameterization improves structural optimization

cikm2021cope

Codes and data for CIKM2021 submission

GF_CF