43 open source projects by benedekrozemberczki

A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).

✭ 234

python deep-learning machine-learning pytorch deep-neural-networks research attention

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

✭ 227

python machine-learning pytorch reinforcement-learning neural-networks deep-reinforcement-learning transfer-learning attention sklearn

3. Gemsec

The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).

✭ 210

python machine-learning tensorflow neural-network facebook clustering unsupervised-learning word2vec matrix-factorization gensim

4. Sgcn

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

✭ 205

python deep-learning machine-learning pytorch neural-network

5. Splitter

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

✭ 177

python deep-learning machine-learning pytorch clustering word2vec gensim

6. Seal Ci

A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)

✭ 172

python deep-learning pytorch tensorflow machine-learning-algorithms deep-learning-algorithms

7. Danmf

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

✭ 161

python deep-learning machine-learning data-science clustering unsupervised-learning word2vec autoencoder sklearn

8. Graphwavemachine

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

✭ 151

python machine-learning unsupervised-learning word2vec

9. Awesome Decision Tree Papers

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

10. Role2vec

A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).

✭ 134

python deep-learning machine-learning pytorch tensorflow research word2vec representation-learning sklearn gensim

11. Awesome Community Detection

A curated list of community detection research papers with implementations.

12. Diff2vec

Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.

✭ 108

python deep-learning machine-learning tensorflow neural-network unsupervised-learning embeddings gensim

13. Edmot

An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)

✭ 96

python deep-learning

14. Musae

The reference implementation of "Multi-scale Attributed Node Embedding".

✭ 75

python deep-learning word2vec network-analysis gensim

15. Karateclub

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

✭ 1,190

python machine-learning unsupervised-learning sklearn supervised-learning

16. Asne

A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).

✭ 73

python tensorflow data-science word2vec representation-learning feature-extraction

17. Tene

A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).

✭ 69

python deep-learning machine-learning pytorch tensorflow feature-extraction matrix-factorization

18. Sine

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

✭ 67

python deep-learning machine-learning pytorch tensorflow unsupervised-learning torch sklearn gensim

19. Tadw

An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).

✭ 43

python machine-learning awesome data-science data-mining unsupervised-learning word2vec text-mining matrix-factorization gensim

20. Capsgnn

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

✭ 1,008

python deep-learning machine-learning pytorch tensorflow research sklearn convolution capsule-network

21. Awesome Fraud Detection Papers

A curated list of data mining papers about fraud detection.

✭ 843

python deep-learning data-science classification data-mining logistic-regression random-forest classifier gradient-boosting

22. Awesome Gradient Boosting Papers

A curated list of gradient boosting research papers with implementations.

✭ 704

python deep-learning machine-learning xgboost random-forest classifier lightgbm gradient-boosting h2o

23. Graph2vec

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

✭ 605

python machine-learning kernel unsupervised-learning word2vec line matrix-factorization

24. Clustergcn

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

✭ 529

python deep-learning pytorch neural-network clustering

25. Littleballoffur

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

✭ 505

python deep-learning machine-learning graph graph-algorithms

26. Awesome Graph Classification

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

27. Graphwaveletneuralnetwork

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

✭ 404

python deep-learning machine-learning pytorch tensorflow convolutional-neural-networks research representation-learning sklearn

28. Pytorch geometric temporal

A Temporal Extension Library for PyTorch Geometric

✭ 392

python deep-learning pytorch spatial-analysis

29. Awesome Monte Carlo Tree Search Papers

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

✭ 387

python deep-learning machine-learning reinforcement-learning learning machine-learning-algorithms rl policy-gradient q-learning

30. Mixhop And N Gcn

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

✭ 358

python deep-learning machine-learning pytorch tensorflow convolutional-neural-networks

31. Simgnn

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

✭ 351

python deep-learning machine-learning pytorch tensorflow neural-network attention-mechanism sklearn

32. Datasets

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

✭ 302

machine-learning data-science dataset benchmark network-analysis

33. Attentionwalk

A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).

✭ 266

python deep-learning machine-learning pytorch tensorflow word2vec attention torch sklearn matrix-factorization

34. NMFADMM

A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).

35. FSCNMF

An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".

36. RolX

An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)

37. walklets

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

38. PDN

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

39. FEATHER

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

40. resolutions-2019

A list of data mining and machine learning papers that I implemented in 2019.

41. M-NMF

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

42. LabelPropagation

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

✭ 101

python community graph clustering community-detection dataset graph-cut modularity louvain unsupervised-learning propagation graph-partitioning label-propagation graph-clustering fast-greedy randomized-algorithm homophily walktrap probabilistic-clustering

43. EgoSplitting

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