Benedek Rozemberczki's Projects
A SciPy implementation of "GraRep: Learning Graph Representations with Global Structural Information" (WWW 2015).
A generator for unit disk graphs conditioned on concave hull cover.
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks" (Physical Review E 2008).
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
An implementation of "Community Preserving Network Embedding" (AAAI 2017)
An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
The reference implementation of "Multi-scale Attributed Node Embedding". (Journal of Complex Networks 2021)
A distributed implementation of "Nested Subtree Hash Kernels for Large-Scale Graph Classification Over Streams" (ICDM 2012).
A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).
A sparsity aware implementation of "Biological Network Comparison Using Graphlet Degree Distribution" (Bioinformatics 2007)
The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
A list of data mining and machine learning papers that I implemented in 2019.
A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).
An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).
Solution for ENS - Societe Generale Challenge (1st place).
Spatiotemporal datasets collected for network science, deep learning and general machine learning research.
A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).
A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).
TigerLily: Finding drug interactions in silico with the Graph.
A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).