Benedek Rozemberczki's Projects
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
Solution for the Ultimate Student Hunt Challenge (1st place).
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.
A curated list of gradient boosting research papers with implementations.
A collection of important graph embedding, classification and representation learning papers with implementations.
A curated list of Monte Carlo tree search papers with implementations.
A curated list of network embedding techniques.
A sparsity aware implementation of "Binarized Attributed Network Embedding" (ICDM 2018).
An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
A repository of pretty cool datasets that I collected for network science and machine learning research.
Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.
An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)
A NetworkX implementation of "Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters" (KDD 2017).
The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".
An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
Inner product natural graph factorization machine used in 'GEMSEC: Graph Embedding with Self Clustering' .
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".
A SciPy implementation of "GraRep: Learning Graph Representations with Global Structural Information" (WWW 2015).
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent