The implementation of paper "Leveraging Multimodal Features and Item-level User Feedback for Bundle Construction".

NLP Zero to Hero in just 10 Kernels

This is an official implementation of "NodeMixup: Tackling Under-Reaching for Graph Neural Networks" (AAAI 2024)

This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorflow..

The PyTorch implementation of LightGCN

Code and Datasets for "Unifying Multi-associations through Hypergraph for Bundle Recommendation"

Official implementation of the paper "BRUCE: Bundle Recommendation Using Contextualized item Embeddings"

Hierarchical Fashion Graph Network for Personalized Outfit Recommendation, SIGIR 2020

MMGCN: Multi-modal Graph Convolution Network forPersonalized Recommendation of Micro-video