A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch

A Comparative Framework for Multimodal Recommender Systems

An open-source framework for self-supervised recommender systems.

A Toolbox for MultiModal Recommendation. Integrating 10+ Models...

A PyTorch implementation of DeepFM for CTR prediction problem.

The code for the paper "MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation" (ACM MM'23).

Multi-View Graph Convolutional Network for Multimedia Recommendation

Code for kdd-24 paper "GPFedRec: Graph-Guided Personalization for Federated Recommendation"

MMGCL: Meta Knowledge-Enhanced Multi-view Graph Contrastive Learning for Recommendations