RECT
Graph learner
A deep learning framework for graph representation learning with partially labeled data
This is the source code of "Network Embedding with Completely-Imbalanced Labels". TKDE2020
18 stars
5 watching
7 forks
Language: Python
last commit: over 3 years ago
Linked from 1 awesome list
graph-embeddinggraph-representation-learningnetwork-embedding
Related projects:
Repository | Description | Stars |
---|---|---|
benedekrozemberczki/tene | A sparsity-aware implementation of a deep learning algorithm for graph embedding with text information. | 73 |
zhengwang100/rsdne | A method for creating network embeddings when labeled data is imbalanced | 11 |
snash4/gat2vec | A framework for learning representations from attributed graphs, incorporating structural and attribute information. | 58 |
benedekrozemberczki/attentionwalk | An implementation of a deep learning algorithm to generate node embeddings in graphs | 320 |
benedekrozemberczki/role2vec | An implementation of a deep learning-based method for creating vector representations of nodes in a graph | 166 |
deepgraphlearning/gmnn | A software framework that integrates statistical relational learning and graph neural networks for semi-supervised object classification and unsupervised node representation learning. | 401 |
benedekrozemberczki/sgcn | An implementation of a deep learning algorithm for graph data | 268 |
benedekrozemberczki/seal-ci | A PyTorch implementation of a semi-supervised graph classification model that learns hierarchical representations from labeled and unlabeled graph data. | 208 |
benedekrozemberczki/grarep | An implementation of a method for learning graph representations from global structural information in a network | 63 |
benedekrozemberczki/gemsec | A reference implementation of graph embedding with clustering using deep learning techniques | 252 |
benedekrozemberczki/bane | A software implementation of a graph embedding algorithm | 86 |
benedekrozemberczki/karateclub | A Python framework for unsupervised learning on graph data using various network embedding and community detection techniques | 2,167 |
hongyanggao/lgcn | An implementation of learnable graph convolutional networks for efficient graph processing | 46 |
benedekrozemberczki/walklets | An implementation of an algorithm for learning graph representations from network data | 105 |
rksltnl/deep-metric-learning-cvpr16 | A software framework for building deep metric learning models using lifted structured feature embedding | 342 |