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Optimized Gillespie Algorithms (OGA) for spreading processes on higher-order networks
Ligra: A Lightweight Graph Processing Framework for Shared Memory
gHyPart: GPU-friendly End-to-End Hypergraph Partitioner
Event network analyzer (eventnet): statistical analysis of networks of relational events.
Source code for KAIS (2023) paper "Temporal Hypergraph Motifs" and ICDM 2021 paper "THyMe+: Temporal Hypergraph Motifs and Fast Algorithms for Exact Counting."
Py3plex - A multilayer complex network visualization and analysis library in python3
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Built by researchers, for research.
Tool for building graph-based hierarchical knowledge representation systems
A language with lexical effect handlers and lightweight effect polymorphism
A library to represent, track and analyze the temporal evolution of clusters
PyGenStability: Multiscale community detection with generalized Markov Stability
Distance Closure on Complex Networks (Distance Backbones)
A collection of tools for working with hypergraph data structures
phlower is a deep learning framework based on PyTorch especially for physical phenomenon such as fluid dynamics.
A high-performance topological machine learning toolbox in Python
Python package repository providing wheels (pre-built binaries) for Raspberry Pi
Flow stability framework for dynamic community detection in temporal networks
The original library for analyzing multilayer networks.
A compiler that brings F#'s elegance and precision to systems programming through MLIR and various backends
Par (⅋) is an experimental concurrent programming language. It's an attempt to bring the expressive power of linear logic into practice.
Production-grade ML - F# power & precision guiding Torch performance
Inpla: Interaction nets as a programming language (the current version)
This is an implementation of interaction nets, with a familiar JavaScript-like syntax :)
An implementation of interaction nets as a forth-like language.
The TT-Forge FE is a graph compiler designed to optimize and transform computational graphs for deep learning models, enhancing their performance and efficiency.