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2019-graphneuralnetworkspaperlist

Graph Neural Networks Paper List of 2019 Conferences

2021-07-pspm-and-np-ptpm

a-pytorch-tutorial-to-text-classification

Hierarchical Attention Networks | a PyTorch Tutorial to Text Classification

aaai19hers

HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-start Recommendation

absa-pytorch

Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。

acdr

acenet

acf

Attentive collaborative filtering: Multimedia recommendation with item-and component-level attention

act

The official PyTorch implementation of Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment (AAAI2023, to appear).

adasir

adversarial_personalized_ranking

Adversarial Learning, Matrix Factorization, Recommendation

afn-aaai-20

Source codes for our AAAI'20 paper: Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions

agnn

Code of our paper "Attribute Graph Neural Networks for Strict Cold Start Recommendation" accepted by TKDE 2020.

agstn

Official implementation of AGSTN model(ICDM2020)

all-for-recommendation

What You Want Is What We Want to Recommend

altp_5d_version

5 feature version of Attention mechanism based on LSTM for Traffic Prediction

amtpp_for_mobility

Individual Mobility Prediction via Attentive Marked Temporal Point Processes

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

annotated-transformer

http://nlp.seas.harvard.edu/2018/04/03/attention.html

apoir

Adversarial Point-of-Interest Recommendation

areacity-jsspider-statsgov

国家统计局中的省市区镇行政区划数据带拼音标注，高德地图的坐标和行政区域边界范围，在浏览器里面运行js代码采集的2019年发布的最新数据，含采集源码，提供csv格式数据，支持csv转成省市区多级联动js代码

arnn_python

asgnn

Attentive Sequential Model Based on Graph Neural Network for Next POI Recommendation

asr

Attentive Social Recommendation: Towards User And Item Diversities

astgcn

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

astgcn-r-pytorch

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version

atfm_bpr

Bayesian Personalized Ranking Model with Attribute-to-Feature Mappings for Cold-Start Recommendation

atrank

An Attention-Based User Behavior Modeling Framework for Recommendation

attention

some attention implements

attention-augmented-conv2d

Implementing Attention Augmented Convolutional Networks using Pytorch