Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019

Exphormer: Sparse Transformer for Graphs

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

Code for our paper "Attending to Graph Transformers"

Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]

Code of GAMLP for Open Graph Benchmark. KDD‘22

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

Climate Modeling with Neural Advection-Diffusion Equation, Springer KAIS

Climate Modeling with Neural Diffusion Equation, ICDM'21

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

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

Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch

Liquid Structural State-Space Models

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

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

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

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

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

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

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

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

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