scpei
Follow
Stars
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Representation learning on large graphs using stochastic graph convolutions.
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
A library for Multilingual Unsupervised or Supervised word Embeddings
Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)
Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow
This is a dataset for fake news detection research
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
Text classifier for Hierarchical Attention Networks for Document Classification
Neural Graph Collaborative Filtering, SIGIR2019
A framework to learn cross-lingual word embedding mappings
A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)
TensorFlow implementation of Independently Recurrent Neural Networks
Implementation of R-GCNs for Relational Link Prediction
Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.
Code for One-shot Relational Learning for Knowledge Graphs (EMNLP18)
Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)
A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation
Code of the paper: Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks.
Code for NIPS 2018 paper 'Frequency-Agnostic Word Representation'
Simple Tensorflow implementation of "Unsupervised Image to Image Translation Networks" (NIPS 2017 Spotlight)
Code and dataset for paper "Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts" published in KDD'2019.
This is an implementation of LINE(Large-scale information network embedding) algorithm.
Semi-supervised User Geolocation via Graph Convolutional Networks