254 Open source projects that are alternatives of or similar to DCGCN

Summary of open source code for deep learning models in the field of traffic prediction

An index of recommendation algorithms that are based on Graph Neural Networks.

Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper

Representation Learning on Graphs with Jumping Knowledge Networks

Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"

ProteinGCN: Protein model quality assessment using Graph Convolutional Networks

Code and resources on scalable and efficient Graph Neural Networks

A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in The International Workshop on Self-Supervised Learning for the Web (SSL'21) @ the Web Conference 2021 (WWW'21).

A reading list for deep graph learning acceleration.

Tutorials for Machine Learning on Graphs

StellarGraph - Machine Learning on Graphs

links to conference publications in graph-based deep learning

Graph Neural Network Library for PyTorch

A distributed graph deep learning framework.

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Demo of RouteNet in ACM SIGCOMM'19

Improving the Transformer translation model with document-level context

🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.

Code for the CHAMPS Predicting Molecular Properties Kaggle competition

Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks

Preprocessed Python functions and docstrings for automated code documentation (code2doc) and automated code generation (doc2code) tasks.

Unsupervised Word Segmentation for Neural Machine Translation and Text Generation

Disentagnled Graph Collaborative Filtering, SIGIR2020

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

MT paper lists (by conference)

A TensorFlow Implementation of Machine Translation In Neural Machine Translation in Linear Time

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

odr.chalmers.se/handle/20.500.12380/256629?locale=en

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

Open Source Neural Machine Translation in Torch (deprecated)

Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph Machine Learning.

Towards Neural Phrase-based Machine Translation

《机器翻译：基础与模型》肖桐 朱靖波 著 - Machine Translation: Foundations and Models

Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)

Fast inference engine for OpenNMT models

A tutorial & minimal example (8min on CPU) for Graph Convolutional Networks for Text Classification. AAAI 2019

Fast Neural Machine Translation in C++ - development repository

Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

nmtpy is a Python framework based on dl4mt-tutorial to experiment with Neural Machine Translation pipelines.

GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification

Open neural machine translation models and web services

SPRING is a seq2seq model for Text-to-AMR and AMR-to-Text (AAAI2021).

Code and data for ECML-PKDD paper "Social Influence Attentive Neural Network for Friend-Enhanced Recommendation"

A neural machine translation model in PyTorch

Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation, AAAI 2020

An open-source neural machine translation system developed by Natural Language Processing Group, Nanjing University.

Neural machine translator for English2German translation.

Material for the EPFL master course "A Network Tour of Data Science", edition 2019.

Implementation of "Effective Adversarial Regularization for Neural Machine Translation", ACL 2019

Neural machine translation and sequence learning using TensorFlow

Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020

Code accompanying our EMNLP paper Learning Language Representations for Typology Prediction

A list of NLP(Natural Language Processing) tutorials

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

codes of Deep Spatio-Temporal Graph Convolutional Network for Traffic Accident Prediction

The official code and datasets for "Zero-Shot Multi-View Indoor Localization via Graph Location Networks" (ACMMM 2020)

An implementation of RNNsearch using TensorFlow

Non-autoregressive Neural Machine Translation (not a full version)

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.