AnthonyMRios / lemlLinks
Method for large-scale multi-label classification
☆23Updated 6 years ago
Alternatives and similar repositories for leml
Users that are interested in leml are comparing it to the libraries listed below
Sorting:
- Tensorflow implementation for the paper 'Learning Deep Latent Spaces for Multi-Label Classfications' in AAAI 2017☆99Updated 8 years ago
- code for paper "Relational Variational Autoencoder for Link Prediction with Multimedia Data"☆15Updated 8 years ago
- Generic implementation for clustering with deep learning : representation learning (DNN) + clustering☆295Updated 7 years ago
- Keras implementation of Structural Deep Network Embedding, KDD 2016☆92Updated 7 years ago
- The Matlab code of the SSWL method proposed in our AAAI18 paper "Learning from Semi-Supervised Weak-Label Data"☆15Updated 2 months ago
- Representation based multi label classification with many labels☆41Updated 9 years ago
- Semi supervised learning on graphs☆35Updated 8 years ago
- Implementations of label propagation like algorithms☆82Updated 9 years ago
- Metric Learning with Graph Convolutional Neural Networks☆208Updated 7 years ago
- Implementaion of Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction☆123Updated 4 years ago
- Learning joint representation with a Multimodal Deep Boltzmann Machine☆39Updated 9 years ago
- 4 Network Embedding algorithms (Deepwalk, Node2Vec, LINE, AANE) tested on 2 datasets (CORA and Tencent Weibo)☆23Updated 3 years ago
- Tensorflow implementation of "Unsupervised Deep Embedding for Clustering Analysis"☆60Updated 7 years ago
- [DSAA 2018] Autoencoders for Link Prediction and Semi-Supervised Node Classification☆255Updated 6 years ago
- Implementation of https://arxiv.org/abs/1703.00792.☆44Updated 8 years ago
- PRUNE: Preserving Proximity and Global Ranking for Network Embedding☆44Updated 7 years ago
- A tutorial on Graph Convolutional Neural Networks☆318Updated 5 years ago
- Tensorflow Implementation of Large-Scale Learnable Graph Convolutional Networks (LGCN) KDD18☆47Updated 7 years ago
- source code for the paper "Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random Walks…☆31Updated 8 years ago
- Graph-based Attention Model☆246Updated 2 years ago
- A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).☆274Updated 3 years ago
- Network Embedding Survey and Resources☆41Updated 8 years ago
- ☆137Updated 5 years ago
- Learning graph representations using autoencoder☆51Updated 9 years ago
- ☆210Updated 5 years ago
- Code and data for paper AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks☆26Updated 7 years ago
- Codes, datasets, and features for Dynamic Collaborative Filtering with Aesthetic Feature (DCFA)☆10Updated 7 years ago
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆58Updated 8 years ago
- A Tensorflow implementation of Collaborative Metric Learning (CML)☆159Updated 8 years ago
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆528Updated 4 years ago