TransNet

Relation learning framework

A framework for learning representations of social relations in networks using an autoencoder-based approach

Source code and datasets of IJCAI2017 paper "TransNet: Translation-Based Network Representation Learning for Social Relation Extraction".

GitHub

103 stars
15 watching
38 forks
Language: Jupyter Notebook
last commit: almost 7 years ago
Linked from 1 awesome list

network-embedding

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
amzn/xfer A collection of libraries and frameworks for transfer learning and meta-learning in deep neural networks 253
fedml-ai/spreadgnn A framework for decentralized multi-task learning of graph neural networks on molecular data with guaranteed convergence 44
taehoonlee/tensornets A collection of pre-trained neural network models with simple interfaces for easy integration into machine learning workflows. 1,004
google-research/tf-slim A lightweight library for defining and training neural networks in TensorFlow. 373
thuml/xlearn A library that enables the transfer of knowledge from one task to another in deep learning models 465
google-research/visu3d An abstraction layer between various deep learning frameworks and your program. 149
liziliao/asne A software framework for learning embeddings from attributed social networks 83
thunlp/ernie A toolkit for fine-tuning pre-trained language models with knowledge graph representations to improve performance on entity typing and relation classification tasks. 1,413
vuptran/graph-representation-learning A deep learning framework for graph autoencoder-based link prediction and node classification tasks 254
yechengxi/lightnet A Matlab-based framework for building and training deep learning models 271
rocm/mxnet A deep learning framework that enables efficient and flexible distributed/mobile deep learning with dynamic dataflow dependency scheduling 28
zhengwang100/rect A deep learning framework for graph representation learning with partially labeled data 19
msracver/relation-networks-for-object-detection An implementation of an object detection framework that incorporates relation networks and deformable convolutions 1,096
deepgraphlearning/gmnn A software framework that integrates statistical relational learning and graph neural networks for semi-supervised object classification and unsupervised node representation learning. 403
brunjlar/neural A Haskell-based framework for flexible neural networks and similar parameterized models with automatic differentiation and modular training algorithms. 124