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)
A curated list of community detection research papers with implementations.
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
scikit-mobility: mobility analysis in Python
Publication-quality network visualisations in python
The AMLSim project is intended to provide a multi-agent based simulator that generates synthetic banking transaction data together with a set of known money laundering patterns - mainly for the purpose of testing machine learning models and graph algorithms. We welcome you to enhance this effort since the data set related to money laundering is …
HGX is a multi-purpose, open-source Python library for higher-order network analysis
CompleX Group Interactions (XGI) is a Python package for higher-order networks.
A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).
Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.
The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
TILES: an algorithm for community discovery in dynamic social networks
code for the paper "GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?"
Bayesian network models for inferring core-periphery structure
Autologistic Actor Attribute Model (ALAAM) parameter estimation, simulation, and goodness-of-fit
Financial and Investment Data Science: FinDS Python library and examples for applying quantitative and machine learning methods on structured and unstructured financial data sets
Disease pathways in the human interactome
Automatically modelling and distilling knowledge within AI. In other words, summarising the AI research firehose.
RDyn: graph benchmark handling community dynamics
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