cse-ljl Goto Github PK

diffnet

din

keras implementation about Deep Interest Network

dkn

An implementation of DKN (Deep Knowledge-Aware Network for News Recommendation) in PyTorch.

dkn-1

A tensorflow implementation of DKN (Deep Knowledge-aware Network for News Recommendation)

dlrm

An implementation of a deep learning recommendation model (DLRM)

dmml

code for ICCV19 paper "Deep Meta Metric Learning"

dnn_ctr

The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc

dropoutnet

Code for the NIPS'17 paper "DropoutNet: Addressing Cold Start in Recommender Systems"

dsin

Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"

dynamic-kg

Dynamic (Temporal) Knowledge Graph Completion (Reasoning)

efanna

fast library for ANN search and KNN graph construction

evogwp

Source code of EvoGWP under review of IPDPS 2023

fenzo

Extensible Scheduler for Mesos Frameworks

gate

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

gensim

Topic Modelling for Humans

gp-gnn

Code and dataset of ACL2019 Paper: Graph Neural Networks with Generated Parameters for Relation Extraction.

graphembedding

Implementation and experiments of graph embedding algorithms.

graphrec-www19

Graph Neural Networks for Social Recommendation, WWW'19

gru4rec-pytorch

An other implementation of GRU4REC using PyTorch

hegan

Source code for KDD 2019 paper "Adversarial Learning on Heterogeneous Information Networks"

herec

Source code for TKDE 2018 "Heterogeneous information network embedding for recommendation"

hgn

Hierarchical Gating Networks for Sequential Recommendation

hgn_baseline

baseline method HGN, just like SASRec, change its evaluation to be the same as SASRec

ibench

Suite of contentious microbenchmarks

immrec

Data used in Immersive Recommendation WWW 2016 paper

irecgan

Implementation for our paper in NeurIPS 2019

irgan

IRGAN SIGIR paper experimental code

itere

Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning. (WWW'19)

jarvis

Jarvis is a toolbox built on top of TensorFlow2.0 that allows developers and researchers to easily build neural networks in TensorFlow, particularly CTR models for large-scale advertising and recommendation scenarios.

joint-kg-recommender