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hgn

Hierarchical Gating Networks for Sequential Recommendation

hgnn

Hypergraph Neural Networks (AAAI 2019)

hgnn-1

This repository is an implementation of our proposed HGNN(Hierarchical Graph Neural Networks) model

hgru4rec

Code for our ACM RecSys 2017 paper "Personalizing Session-based Recommendation with Hierarchical Recurrent Neural Networks"

hierarchical-attention-networks

Implementation of Hierarchical Attention Networks as presented in https://www.cs.cmu.edu/~diyiy/docs/naacl16.pdf

hierarchical-attention-networks-pytorch

Hierarchical Attention Networks for document classification

hierarchical-career-path-aware-network

hiertcn

Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems

hinge_code

hmrm

hmt-grn

hpmn

Lifelong sequential modeling for user response prediction. A comprehensive evaluation framework for our SIGIR 2019 paper.

hyperrec

Code for Next-item Recommendation with Sequential Hypergraph (SIGIR2020)

hyperstacknet

Multi-Stacked, Latent Heat Maps, Hourglass Network

ian

A TensorFlow implementation for "Interactive Attention Networks for Aspect-Level Sentiment Classification"

ican

InternalandContextualAttentionNetworkforCold-startMulti-channel MatchinginRecommendation

icc2020_fgcrec

Official code for FGCRec: Fine-Grained Geographical Characteristics Modeling for Point-of-Interest Recommendation (ICC 2020)

iconip2019_carec

Official code for CARec: Content-Aware Point-of-Interest Recommendation via Adaptive Bayesian Personalized Ranking (ICONIP 2019)

igslr-personalized-geo-social-location-recommendation

Implementation of the model iGSLR

ijcai18mlma

ijcai2019_hgat

Semi-supervised User Profiling with Heterogeneous Graph Attention Networks, IJCAI 2019.

ijcnn2020_fgrec

Official code for FGRec: A Fine-Grained Point-of-Interest Recommendation Framework by Capturing Intrinsic Influences (IJCNN 2020)

imtl

interactive Multi-Task Learning

imtl-1

imtl-2

imtl-implementation

imtpp

Artefacts related to the AISTATS 2021 paper "Learning Temporal Point Processes with Intermittent Observations".

inf-vae

Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction

interaction-aware-factorization-machines

Tensorflow implementation for Interaction-aware factorization machines

intro_to_ml_dsc6135