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: over 8 years ago
Linked from 1 awesome list

network-embedding

Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
amzn/xferA collection of libraries and frameworks for transfer learning and meta-learning in deep neural networks253
fedml-ai/spreadgnnA framework for decentralized multi-task learning of graph neural networks on molecular data with guaranteed convergence44
taehoonlee/tensornetsA collection of pre-trained neural network models with simple interfaces for easy integration into machine learning workflows.1,004
google-research/tf-slimA lightweight library for defining and training neural networks in TensorFlow.373
thuml/xlearnA library that enables the transfer of knowledge from one task to another in deep learning models465
google-research/visu3dAn abstraction layer between various deep learning frameworks and your program.149
liziliao/asneA software framework for learning embeddings from attributed social networks83
thunlp/ernieA 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-learningA deep learning framework for graph autoencoder-based link prediction and node classification tasks254
yechengxi/lightnetA Matlab-based framework for building and training deep learning models271
rocm/mxnetA deep learning framework that enables efficient and flexible distributed/mobile deep learning with dynamic dataflow dependency scheduling28
zhengwang100/rectA deep learning framework for graph representation learning with partially labeled data19
msracver/relation-networks-for-object-detectionAn implementation of an object detection framework that incorporates relation networks and deformable convolutions1,096
deepgraphlearning/gmnnA software framework that integrates statistical relational learning and graph neural networks for semi-supervised object classification and unsupervised node representation learning.403
brunjlar/neuralA Haskell-based framework for flexible neural networks and similar parameterized models with automatic differentiation and modular training algorithms.124