Sequence modeling benchmarks and temporal convolutional networks

A Soccer Ball Detector using Fully Convolutional Neural Networks and ConvLSTM

Probabilistic activity driven model of temporal simplicial networks and its application on higher-order dynamics

A Temporal Networks Library written in Python

Temporal graph model on DOM

pathpy is an OpenSource python package for the analysis of time series data on networks using higher-order and multi-order graphical models.

Given a temporal network, performs Temporal Random Walk using different sampling strategies.

Utility python package for RG17 and UO17 Twitter tennis data sets.

Representation and learning framework for dynamic graphs using Graph Neural Networks.

Matching procedure for tracing communities in temporal data

STHN: Simplifying Temporal Heterogeneous Network for Continuous-Time Link Prediction [CIKM 2023]

[ECML-PKDD'20] Modeling Dynamic Heterogeneous Network for Link Prediction using Hierarchical Attention with Temporal RNN

The code for "Effect of Choosing Loss Function when Using T-batching for Representation Learning on Dynamic Networks"

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

matplotlib based tool for the visualization of alluvial diagrams.

Straph is a Python package for the modelisation, analysis and visualisation of Stream Graphs (https://arxiv.org/abs/1710.04073).

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

Python package for simulating spreading phenomena in complex networks

Compact time- and attribute-aware node representations

Python package to simulate a vast range of transmission processes on various structures