Tajuddeen

GraphRec-WWW19

Graph Neural Networks for Social Recommendation, WWW'19

diffnet

POI-recommendation

a cnn neural network for personalized POI recommendation in location-based social networks

RecQ

RecQ: A Python Framework for Recommender Systems (TensorFlow Based)

ADPR

ADPR: An Attention-based Deep Learning Point-of-Interest Recommendation Framework

maf

Masked Autoregressive Flow

PACE2017

A step-by-step Keras implementation of PACE (Preference And Context Embedding) described in our KDD 2017 paper.

TMCA

Code For Next Point-of-Interest Recommendation with Temporal and Multi-level Context Attention

Representation_Learning_on_Graphs_with_Jumping_Knowledge_Networks

Representation Learning on Graphs with Jumping Knowledge Networks

GATE

The implementation of "Gated Attentive-Autoencoder for Content-Aware Recommendation"

graph-cnn-recommender-systems

rgcnn

Neural Recommender System from "Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks"

CAPE

In this repository, We're going to implement the paper, which is "Content-Aware Hierarchical Point-of-Interest Embedding Model for Successive POI Recommendation", (B. Chang et al, IJCAI-ECAI'18), using a PyTorch library.

STAMP

Code for the KDD 2018 paper: STAMP: Short-Term Attention/Memory Priority Model for Session-based Recommendation

GORU-tensorflow

Gated Orthogonal Recurrent Unit implementation in tensorflow

gnn-benchmark

Framework for evaluating Graph Neural Network models on semi-supervised node classification task

SAE-NAD

The implementation of "Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence"

self-attentive-ncf

Source code for our Paper "Self-Attentive Neural Collaborative Filtering"

Collaborative_Deep_Learning

Collaborative Deep Learning (CDL)

mgcnn

Multi-Graph Convolutional Neural Networks

POIRec

Successive Point-of-Interest Recommendation

POI-Retriever

Point Of Interest (POI) data collector script

VAE-tensorflow

Code for Variational AutoEncoder(VAE) using tensorflow

APOIR

Adversarial Point-of-Interest Recommendation

Variational-Ladder-Autoencoder

Implementation of VLAE

points_of_interest

Files associated with blog post: Scraping, Geocoding, and Mapping Points with Scrapy, Geopy, and Leaflet

sessionRec_NARM

graph-LSTM

Graph-Embeddings-for-Recommender-Systems

In this project, we will revisit the problem central to recommender systems: predicting a user’s preference for some item they have not yet rated. Like the Spark recommender from the first project, we will use a collaborative filtering model to explore this problem. Recall that in this model, the goal is to find the sentiment of a user about a particular item Unlike the the first project that used the ALS method, however, we will perform this task using a graphbased technique called DeepWalk.

PoIRecSys

Point Of Interest Recommendation System(PoIRecSys)