[NeurIPS'24] The official implementation code of LLM-ESR.

Code of "Recurrent Transformers Trade-off Parallelism for Length Generalization on Regular Languages"

Climate Modeling with Neural Advection-Diffusion Equation, Springer KAIS

🐼PANDA: Expanded Width-Aware Message Passing Beyond Rewiring, ICML 2024

LT-OCF: Learnable-Time ODE-based Collaborative Filtering, CIKM'21

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

Climate Modeling with Neural Diffusion Equation, ICDM'21

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

Source code for paper: "Multiscale Neural Operators for Solving Time-Independent PDEs"

A collection of research materials on SSL for tabular data

Code for our paper "Attending to Graph Transformers"

Exphormer: Sparse Transformer for Graphs

Aggregator for amazing ZKML resources

Pandas AI is a Python library that integrates generative artificial intelligence capabilities into Pandas, making dataframes conversational

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

An implementation of Denoising Diffusion Probabilistic Models (DDPM) in PyTorch for EEG-based image reconstruction.

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch - fork with video pseudo3d

Liquid Structural State-Space Models

Pytorch implementation of Spatoi-temporal Differential Equation Network (STDEN).

2D/3D serial and parallel triangular mesh generation tool for finite element methods.

Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch

This is the repository for the collection of Deep Learning for Traffic Prediction Problems.

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

A collection of Survey Papers in Machine Learning

Code of GAMLP for Open Graph Benchmark. KDD‘22