yoshall

pytorch_geometric

Graph Neural Network Library for PyTorch

GNNPapers

Must-read papers on graph neural networks (GNN)

SlowFast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

awesome-implicit-representations

A curated list of resources on implicit neural representations.

awesome-explainable-graph-reasoning

A collection of research papers and software related to explainability in graph machine learning.

awesome_lists

Awesome Lists for Tenure-Track Assistant Professors and PhD students. (助理教授/博士生生存指南)

torchdyn

A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

Awesome-Multimodal-Research

A curated list of Multimodal Related Research.

Awesome-TimeSeries-SpatioTemporal-LM-LLM

A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.

Causal_Reading_Group

We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.

ChatGPT-PromptGenius

All-purpose prompts website with hierarchical classification system. Helps you quickly find and share wonderful prompts! 全面、有效的提示词大全网站，帮助提升生产力和质量。

LargeST

LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting (NeurIPS 2023 DB Track)

GeoMAN

a easy pytorch implement of GeoMAN

LaDe

Code for tasks on Cainiao-LaDe (Last-mile Delivery dataset).

STGCL

When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? (SIGSPATIAL 2022)

STGNP

KDD'23 --- Graph Neural Processes for Spatio-Temporal Extrapolation

CaST

PyTorch implementation of CaST, NeurIPS-23.

UrbanPy