tsoumakas / mulanLinks
☆66Updated 2 years ago
Alternatives and similar repositories for mulan
Users that are interested in mulan are comparing it to the libraries listed below
Sorting:
- Python codes for weakly-supervised learning☆124Updated 5 years ago
- Reliability diagrams, Platt's scaling, isotonic regression☆76Updated 11 years ago
- GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model’s Prediction. Thai Le, Suhang Wang, Dongwon …☆21Updated 4 years ago
- This is the official implementation for the paper 'AutoEncoder by Forest'☆75Updated 7 years ago
- ☆124Updated 4 years ago
- LSTM implementation, and multi-layer LSTMs for learning on graph neighborhoods☆80Updated 8 years ago
- This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper☆214Updated 4 years ago
- Graph-Based Semi-Supervised Learning Algorithms☆23Updated 9 years ago
- Distance Metric Learning Algorithms for Python☆173Updated 4 years ago
- An implementation of the Deep Neural Decision Forests in PyTorch☆165Updated 6 years ago
- An implementation of the Co-Training semi-supervised learning technique from (Blue, Mitchell 1998) that is meant to work well with scikit…☆75Updated 5 years ago
- Deep Neural Decision Trees☆161Updated 3 years ago
- Semi supervised learning on graphs☆35Updated 7 years ago
- Compute graph embeddings via Anonymous Walk Embeddings☆83Updated 7 years ago
- Algorithms and evaluation tools for extreme clustering☆72Updated 6 years ago
- A convolutional neural network for graph classification in PyTorch☆91Updated 6 years ago
- Cost-Sensitive Multi-Label Classification☆19Updated 7 years ago
- ECML 2019: Graph Neural Networks for Multi-Label Classification☆90Updated last year
- Deep Embedded Clustering with Data Augmentation (DEC-DA). Performance on MNIST (acc=0.985, nmi=0.960).☆56Updated 6 years ago
- Implementations of label propagation like algorithms☆82Updated 8 years ago
- Online multiclass boosting algorithm that uses VFDT as weak learners☆17Updated 6 years ago
- Graph Embedding via Frequent Subgraphs☆45Updated 5 years ago
- Python implementation of Robust Continuous Clustering☆106Updated 6 years ago
- This project contains code for paper Ksenia Konyushkova, Raphael Sznitman, Pascal Fua 'Learning Active Learning from Data', NIPS 2017☆88Updated 3 years ago
- Implementation of the paper "Community Detection with Graph Neural Networks", by J. Bruna and L. Li☆74Updated 8 years ago
- The implementation the paper 'Learning Deep Latent Spaces for Multi-Label Classifications' in AAAI 2017☆28Updated 8 years ago
- Deep Learning with Positive and Unlabeled samples☆54Updated 7 years ago
- Updated version of DCN☆88Updated 2 years ago
- Code for Supervised Word Mover's Distance (SWMD)☆92Updated 7 years ago
- Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"☆68Updated last year