PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
A collection of research papers on decision, classification and regression trees with implementations.
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)
A curated list of data mining papers about fraud detection.
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
A curated list of gradient boosting research papers with implementations.
A curated list of Monte Carlo tree search papers with implementations.
A repository of pretty cool datasets that I collected for network science and machine learning research.
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.
A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks" (Physical Review E 2008).
An implementation of "Community Preserving Network Embedding" (AAAI 2017)
TigerLily: Finding drug interactions in silico with the Graph.
A sparsity aware implementation of "Binarized Attributed Network Embedding" (ICDM 2018).
Spatiotemporal datasets collected for network science, deep learning and general machine learning research.
A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).
An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".
Inner product natural graph factorization machine used in 'GEMSEC: Graph Embedding with Self Clustering' .