Code for Transformer Hawkes Process, ICML 2020.

Research Software for Neural Weather Prediction for Limited Area Modeling

Official repository for the paper "Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting" (ICML 2024)

Causal Discovery in Python. It also includes (conditional) independence tests and score functions.

Module for statistical learning, with a particular emphasis on time-dependent modelling

NPHC

Causal Neural Nerwork

[IJCAI'2022] FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting

A Library for Dynamic Graph Learning (NeurIPS 2023)

We present a temporal optimal link prediction method that is based on the stacking link prediction method.

OSSEN2024

GraphMineSuite (GMS): a benchmarking suite for graph mining algorithms such as graph pattern matching or graph learning

TGN: Temporal Graph Networks

Reference implementation of TGAT: Inductive Representation Learning on Temporal Graphs (ICLR 2020)

ETNgen: A temporal graph generator based on Egocentric Temporal Motifs

[ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of related open resources for survey paper "Temporal Link Predict…

This is a course project for Point Process Modeling(CS488).

This is the official codebase of `Exploring Generative Neural Temporal Point Process' (Accepted by TMLR).

(Pytorch ver) Code for "Fully Neural Network based Model for General Temporal Point Process"

A Point Process Toolbox Based on PyTorch

Hydra is a framework for elegantly configuring complex applications