PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2022)

Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs (EMNLP 2020)

Archive of Temporal Knowledge Reasoning in Social Network and Knowledge Graph

TKAN: Temporal Kolmogorov-Arnold Networks

pathpy is an OpenSource python package for the modeling and analysis of pathways and temporal networks using higher-order and multi-order graphical models

Representing and mining dynamical social networks in Neo4j

Temporal networks in Python. Provides fast tools to analyze temporal contact networks and simulate dynamic processes on them using Gillespie's SSA.

Temporal Network Tools

Temporal Kolmogorov-Arnold Transformer

Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).

Node Embeddings in Dynamic Graphs

[WSDM 2022] EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs

Temporal Dependency Graph

PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"

Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"

Code and data for the KDD 2023 paper "Predicting Information Pathways Across Online Communities."

Python binding for Reticula: the general purpose library for analysing static, temporal and hypergraph networks.

Convert Shapefile to the Network and find number of shortest paths

Python package for simulating spreading phenomena in complex networks