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a-dual-stage-attention-based-recurrent-neural-network-for-time-series-prediction

aaai18-code

The code of AAAI18 paper "Learning Structured Representation for Text Classification via Reinforcement Learning".

adagcn

Code description for AdaGCN paper in ICLR 2021

adaptive-structural-fingerprint

adaptive-structural-fingerprint-1

agc-master

ala-gcn

an-attention-based-spatiotemporal-lstm-network-for-next-poi-recommendation

A python vision code of An Attention-based Spatiotemporal LSTM Network for Next POI Recommendation

astgcn

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019

attention-based-bilstm-relation-extraction

Tensorflow Implementation of "Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification" (ACL 2016)

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

attn_lstm_realation_classification

tensorflow implementation of "Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification"

autogl

An autoML framework & toolkit for machine learning on graphs.

awesome-deep-gnn

Papers about developing deep Graph Neural Networks (GNNs)

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

awesome-trajectory-prediction

bgnn

bilinear graph neural network

bidirectional-lstm-with-attention-for-relation-classification

bike-sharing-demand-prediction

Prediction of demand in seoul bike sharing system

bootstrapped_graph_diffusions

carmen

AAAI-23 paper: Context-aware Safe Medication Recommendations with Molecular Graph and DDI Graph Embedding

chinese-relation-extraction

Relation Extraction 中文关系提取

chinesenre

中文实体关系抽取，pytorch，bilstm+attention

cnn-lstm-bilstm-deepcnn-clstm-in-pytorch

In PyTorch Learing Neural Networks Likes CNN(Convolutional Neural Networks for Sentence Classification (Y.Kim, EMNLP 2014) 、LSTM、BiLSTM、DeepCNN 、CLSTM、CNN and LSTM

cnn_graph

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

compare

compare embedding

compgcn

ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks

concrete-autoencoders

convolutional-sequence-to-sequence-model-for-human-dynamics

Source code of paper "Convolutional Sequence to Sequence Model for Human Dynamics"