Implementation of the BNPool layer and code to reproduce the experiments in "Bayesian Nonparametric GNNs for graph pooling and clustering".

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

Official Code for "CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting"

Official PyTorch Implementation of Gated Delta Networks: Improving Mamba2 with Delta Rule

Hundreds of strange attractors

[SIGKDD'2025] Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective

Cool vision, learning, and graphics papers on Cats!

Tabular In-Context Learning

A simple pip-installable Python tool to generate your own HTML citation world map from your Google Scholar ID.

Even Sparser Graph Transformers

Tools for the exploration of chaos and nonlinear dynamics

[NeurIPS 2024] Implementation of "Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification"

Code for "Theoretical Foundations of Deep Selective State-Space Models" (NeurIPS 2024)

The official implementation of the paper: "SST: Multi-Scale Hybrid Mamba-Transformer Experts for Long-Short Range Time Series Forecasting"

DiGRAF: Diffeomorphic Graph-Adaptive Activation Function (NeurIPS 2024)

Official Implementation of TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters

SSMA paper code

The repository implements the Enhancing Graph Transformers with Hierarchical Distance Structural Encoding.

MuLe: Multi-Grained Graph Learning for Multi-Behavior Recommendation (CIKM 2024)