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

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

A repository of pretty cool datasets that I collected for network science and machine learning research.

Spatiotemporal datasets collected for network science, deep learning and general machine learning research.

A curated list of Monte Carlo tree search papers with implementations.

A curated list of gradient boosting research papers with implementations.

A curated list of community detection research papers with implementations.

A collection of research papers on decision, classification and regression trees with implementations.

A curated list of data mining papers about fraud detection.

Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)

The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).

A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).

A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".

A NetworkX implementation of "Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters" (KDD 2017).

A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

A collection of important graph embedding, classification and representation learning papers with implementations.

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

A sparsity aware implementation of "Binarized Attributed Network Embedding" (ICDM 2018).

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).

A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".

The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)

A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

TigerLily: Finding drug interactions in silico with the Graph.

An implementation of "Community Preserving Network Embedding" (AAAI 2017)

An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).

A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks" (Physical Review E 2008).