Codes and data for CIKM2021 submission

A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"

Code for CIKM 2021 best short paper nomination "Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation" https://arxiv.org/abs/2106.06165

This is our Tensorflow implementation for "Graph-based Embedding Smoothing for Sequential Recommendation" (GES) TKDE 2021.

Official implementation of SIGIR'2021 paper: "Sequential Recommendation with Graph Neural Networks".

Download and preprocess popular sequential recommendation datasets

Contrastive Self-supervised Sequential Recommendation with Robust Augmentation

PyTorch(1.6+) implementation of https://github.com/kang205/SASRec

common used Recommend Baseline Model, including the traditional statistical model, and the Nerual Network Model. Focus on the SRS (Sequential Recommend System).

Code for paper "Leaping Through Time with Gradient-based Adaptation for Recommendation", AAAI-2022.

TensorFlow implementation for paper Time Interval Aware Self-Attention for Sequential Recommendation.

Code for "Sequential Recommendation for Cold-start Users with Meta Transitional Learning" (SIGIR2021)

The source code for WWW 2022 Paper "Filter-enhanced MLP is All You Need for Sequential Recommendation"