PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
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Updated
Apr 15, 2024 - Python
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
Blazingly fast, vectorised, parallel, and scalable temporal graph engine for Rust, Python and JavaScript
pathpy is an OpenSource python package for the modeling and analysis of pathways and temporal networks using higher-order and multi-order graphical models
Temporal Network Tools
Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"
Representing and mining dynamical social networks in Neo4j
Node Embeddings in Dynamic Graphs
[WSDM 2022] EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs
Convert Shapefile to the Network and find number of shortest paths
Temporal Walk Based Centrality Metric for Graph Streams
Temporal networks in Python. Provides fast tools to analyze temporal contact networks and simulate dynamic processes on them using Gillespie's SSA.
A Temporal Networks Library written in Python
Python package to simulate a vast range of transmission processes on various structures
Compact time- and attribute-aware node representations
PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"
Source code for KAIS (2023) paper "Temporal Hypergraph Motifs" and ICDM 2021 paper "THyMe+: Temporal Hypergraph Motifs and Fast Algorithms for Exact Counting."
Python package for importing and analyzing discrete- and continuous-time dynamic networks
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