Pinned Repositories
ADPR
ADPR: An Attention-based Deep Learning Point-of-Interest Recommendation Framework
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
APOIR
Adversarial Point-of-Interest Recommendation
bootstrap5-bootcamp
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.
cheatsheets
Official Matplotlib cheat sheets
code_snippets
Collaborative_Deep_Learning
Collaborative Deep Learning (CDL)
Deep-Learning-for-Recommendation-Systems
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
Tajuddeen's Repositories
Tajuddeen/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
Tajuddeen/bootstrap5-bootcamp
Tajuddeen/cheatsheets
Official Matplotlib cheat sheets
Tajuddeen/code_snippets
Tajuddeen/Deep-Learning-for-Recommendation-Systems
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
Tajuddeen/DeepRecommender
Deep learning for recommender systems
Tajuddeen/Distance2Pre
Code for my PAKDD-2019, Distance2Pre: Personalized Spatial Preference for Next Point-of-Interest Prediction
Tajuddeen/gae
Implementation of Graph Auto-Encoders in TensorFlow
Tajuddeen/GCN-RecSys
A Graph Convolution Network based approach to Recommender Systems
Tajuddeen/geom-gcn
Geom-GCN: Geometric Graph Convolutional Networks
Tajuddeen/Graph-based-Recommendation-System
Graph convolutional matrix completion
Tajuddeen/graph_nets
PyTorch Implementation and Explanation of Graph Representation Learning papers involving DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
Tajuddeen/GraphSAGE
Representation learning on large graphs using stochastic graph convolutions.
Tajuddeen/GRU4Rec
GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Networks with Top-k Gains for Session-based Recommendations". The code is optimized for execution on the GPU.
Tajuddeen/Hamoye-Classes
Tajuddeen/HGN
Hierarchical Gating Networks for Sequential Recommendation
Tajuddeen/IGMC
Inductive graph-based matrix completion (IGMC) from "M. Zhang and Y. Chen, Inductive Matrix Completion Based on Graph Neural Networks, ICLR 2020 spotlight".
Tajuddeen/knowledge_graph_attention_network
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
Tajuddeen/LSTPM
Ke Sun, Tieyun Qian, Tong Chen, Yile Liang, Quoc Viet Hung Nguyen, Hongzhi Yin: Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation. AAAI 2020 accepted.
Tajuddeen/neural_collaborative_filtering
Neural Collaborative Filtering
Tajuddeen/neural_graph_collaborative_filtering
Neural Graph Collaborative Filtering, SIGIR2019
Tajuddeen/NGCF-PyTorch
PyTorch Implementation for Neural Graph Collaborative Filtering
Tajuddeen/OrdNMF
Tajuddeen/Point-of-Interest-Recommendation
Next location prediction based on Theano
Tajuddeen/RecommenderSystems
Tajuddeen/spotlight
Deep recommender models using PyTorch.
Tajuddeen/STACP
Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation
Tajuddeen/STAR-GCN
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems
Tajuddeen/Topic-Enhanced-Memory-Networks-for-Personalised-Point-of-Interest-Recommendation
KDD2019
Tajuddeen/variational-autoencoder
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)