HeGAN
by librahu
Source code for KDD 2019 paper "Adversarial Learning on Heterogeneous Information Networks"
AI summary
Network embedding framework
A system for learning meaningful representations of nodes in heterogeneous information networks
- stars
- 70
- forks
- 25
- watching
- 2
- awesome list
- 1
Similar projects
Found by comparing what the projects do, not just their names.
Bipartite embedding algo
This repository provides an implementation of a bipartite network embedding algorithm for collaborative filtering and link prediction tasks.
Network embedding library
An implementation of Structural Deep Network Embedding using Keras for link prediction and network embedding tasks
Image Text GAN Framework
Software framework for training and evaluating generative models of images and text based on adversarial networks
Hyper Network Embedder
A software framework implementing a deep learning-based method to learn embeddings for hyper-networks.
Node embedder
Implementation of a method for generating node embeddings in graph data with attributed information
Network embedding algorithm
An implementation of a scalable method for learning node representations in complex networks
Node embedder
This software generates embeddings for nodes in directed networks based on associated text.
Network embedding model
An implementation of Community Preserving Network Embedding using deep learning and matrix factorization techniques
Temporal network embedder
A PyTorch implementation of a representation learning framework for dynamic temporal networks
Graph representation learner
A framework for learning representations from attributed graphs, incorporating structural and attribute information.
pykeen/pykeen1.7K
Knowledge Graph Embeddings Library
A Python library for learning and evaluating knowledge graph embeddings
GAN framework
A collection of MATLAB implementations for Generative Adversarial Networks (GANs) and related deep learning techniques
Embedding library
A Common Lisp library for generating word embeddings using neural network models.
Graph Embedder
A sparsity-aware implementation of a deep learning algorithm for graph embedding with text information.
Image embedding
An implementation of a deep learning-based image representation learning approach using a modified fully connected layer and transfer learning from VGG16
Featured in 1 awesome list
Each link jumps to the spot where the list mentions HeGAN.
