benitorosenberg

8 ms·

31.
Show HN: Gradient boosting research papers from the last 25 years(github.com)
4 points by benitorosenberg 7y ago|0 comments
32.
Show HN: A PyTorch Implementation of Cluster-GCN(github.com)
3 points by benitorosenberg 7y ago|0 comments
33.
Show HN: MixHop: Higher-Order Graph Convolutional Architectures (PyTorch)(github.com)
3 points by benitorosenberg 7y ago|0 comments
34.
A collection of graph clustering research papers with implementations(github.com)
2 points by benitorosenberg 7y ago|0 comments
35.
Show HN: Community Preserving Network Embedding (TensorFlow)(github.com)
1 points by benitorosenberg 7y ago|0 comments
36.
A collection of fraud detection research papers with implementations(github.com)
3 points by benitorosenberg 7y ago|0 comments
37.
Show HN: Watch Your Step: Learning Node Embeddings via Graph Attention (PyTorch)(github.com)
2 points by benitorosenberg 7y ago|0 comments
38.
Gradient boosting research papers from the last 25 years with implementations(github.com)
2 points by benitorosenberg 7y ago|0 comments
39.
Show HN: Capsule Graph Neural Network (PyTorch)(github.com)
3 points by benitorosenberg 7y ago|0 comments
40.
A Curated List of Community Detection Papers with Implementations(github.com)
4 points by benitorosenberg 7y ago|0 comments
41.
Decision tree research papers from the last 30 years(github.com)
24 points by benitorosenberg 7y ago|2 comments
42.
Show HN: A Collection of Monte Carlo Tree Search Papers(github.com)
6 points by benitorosenberg 7y ago|0 comments
43.
Show HN: A collection of graph classification methods (kernels, deep learning)(github.com)
8 points by benitorosenberg 7y ago|0 comments
44.
by benitorosenberg 7y ago
Louvain greedily optimizes modularity - it is hard to beat it in terms of modularity.
45.
by benitorosenberg 7y ago
Performance measured by what? NMI? Modularity?
46.
Show HN: KarateClub a Python library for unsupervised machine learning on graphs(github.com)
102 points by benitorosenberg 7y ago|9 comments
47.
Karate Club a Python library for graph representation learning(hackernoon.com)
1 points by benitorosenberg 7y ago|0 comments
48.
by benitorosenberg 7y ago
Documentation: https://karateclub.readthedocs.io/en/latest/ Karate Club is an unsupervised machine learning extension library for NetworkX. Karate Club consists of state-of-the-art methods to do unsupervised learn
49.
Karate Club: A Python library for unsupervised machine learning on graphs(github.com)
5 points by benitorosenberg 7y ago|1 comments
50.
by benitorosenberg 7y ago
We added the following new methods since the last publicized release: - Community Detection: - SymmNMF (SDM 12) - SCD (WWW 14) - Whole Graph Embedding: - NetLSD (KDD 18) - FGSD (NIPS 17) - SF (NIPS 18) - GL2Vec (ICONIP 19) - Node Embedding:
51.
Show HN: KarateClub a Python library for unsupervised machine learning on graphs(github.com)
6 points by benitorosenberg 7y ago|2 comments
52.
by benitorosenberg 7y ago
I am the OP. A few examples: 1. DeepWalk: You have the social network of users and for some of them their age. You want to predict the missing age values so that You are able to design a good targeted marketing campaign. The solution that D
53.
by benitorosenberg 7y ago
Is dead. Dead does not mean fake.
54.
Show HN: KarateClub a Python library for unsupervised machine learning on graphs(github.com)
34 points by benitorosenberg 7y ago|6 comments
55.
Show HN: Capsule Graph Neural Network, ICLR 2019 (PyTorch)(github.com)
1 points by benitorosenberg 7y ago|0 comments
56.
Show HN: A Higher-Order Graph Convolutional Layer, NeurIPS 2018 (PyTorch)(github.com)
9 points by benitorosenberg 7y ago|0 comments
57.
Show HN: A Parallel Implementation of Graph2Vec(github.com)
53 points by benitorosenberg 7y ago|0 comments
58.
A Parallel Implementation of Graph2Vec(github.com)
2 points by benitorosenberg 7y ago|0 comments