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31.

Show HN: Deep Autoencoder-Like Nonnegative Matrix Factorization, CIKM 2018

github.com/benedekrozemberczki

7 years ago

3 points

32.

Show HN: A Neural Network for Graph Similarity Computation WSDM'19 (PyTorch)

github.com/benedekrozemberczki

7 years ago

3 points

33.

Show HN: A PyTorch Implementation of Cluster-GCN (KDD 19)

github.com/benedekrozemberczki

7 years ago

2 points

34.

A collection of fraud detection research papers

github.com/benedekrozemberczki

7 years ago

2 points

35.

I built a pure Go PDF library with full XFA support

github.com/benedoc-inc

5 months ago

2 points

36.

Show HN: Learning Structural Node Embeddings via Diffusion Wavelets (KDD 18)

github.com/benedekrozemberczki

7 years ago

2 points

37.

Show HN: Watch Your Step: Learning Node Embeddings via Graph Attention, NIPS'18

github.com/benedekrozemberczki

7 years ago

2 points

38.

Show HN: Symbolic Differentiation in Haskell

github.com/BenedictEggers

11 years ago

2 points

39.

Qwerty/Dvorak double words

github.com/BenedictEggers

12 years ago

2 points

40.

UNHCR Innovation Webinar Notes

github.com/benrudolph

12 years ago

2 points

41.

Show HN: Karate Club – A Python library for machine learning on graphs

github.com/benedekrozemberczki

6 years ago

benitorosenberg

2 points

42.

Show HN: Attributed Social Network Embedding (TensorFlow)

github.com/benedekrozemberczki

6 years ago

benitorosenberg

2 points

43.

Show HN: Learning Structural Node Embeddings via Diffusion Wavelets

github.com/benedekrozemberczki

6 years ago

benitorosenberg

2 points

44.

Show HN: Deep Autoencoder-Like Nonnegative Matrix Factorization

github.com/benedekrozemberczki

6 years ago

benitorosenberg

2 points

45.

Show HN: Graph Embedding with Self-Clustering (TensorFlow), Asonam 2019

github.com/benedekrozemberczki

6 years ago

benitorosenberg

2 points

46.

Show HN: Signed Graph Convolutional Network (PyTorch)

github.com/benedekrozemberczki

6 years ago

benitorosenberg

2 points

47.

Show HN: Watch Your Step: Learning Node Embeddings via Graph Attention (PyTorch)

github.com/benedekrozemberczki

6 years ago

benitorosenberg

2 points

48.

Gradient boosting research papers from the last 25 years with implementations

github.com/benedekrozemberczki

6 years ago

benitorosenberg

2 points

49.

A curated list of Monte Carlo tree search papers with implementations

github.com/benedekrozemberczki

7 years ago

2 points

50.

Show HN: A collection of graph classification methods (1700 stars)

github.com/benedekrozemberczki

7 years ago

2 points

51.

Show HN: Learning Graph Representations with Global Structural Information WWW15

github.com/benedekrozemberczki

7 years ago

2 points

52.

Show HN: Enhanced Network Embedding with Text Information (ICPR 2018)

github.com/benedekrozemberczki

7 years ago

2 points

53.

Show HN: Graph Embedding with Self-Clustering (TensorFlow), Asonam 2019

github.com/benedekrozemberczki

7 years ago

2 points

54.

Show HN: Predict Then Propagate, ICLR 2019 (PyTorch)

github.com/benedekrozemberczki

7 years ago

2 points

55.

Show HN: Learning Node Representations That Capture Multiple Contexts, WWW 2019

github.com/benedekrozemberczki

7 years ago

2 points

56.

A Parallel Implementation of Graph2Vec

github.com/benedekrozemberczki

7 years ago

benitorosenberg

2 points

57.

Tutorials on Sentiment Analysis Using PyTorch and TorchText

github.com/bentrevett

8 years ago

2 points

58.

Using Makefiles to manage AWS services

github.com/benrady

8 years ago

2 points

59.

Show HN: A script to check if Benford's law applies to GitHub stats (it does!)

github.com/chpmrc

6 years ago

1 points

60.

A collection of graph classification procedures with implementations

github.com/benedekrozemberczki

7 years ago

1 points