[WSDM 2024 Oral] This is our Pytorch implementation for the paper: "Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation".

Kolmogorov Arnold Networks

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT p…

Unofficial PyTorch/🤗Transformers(Gemma/Llama3) implementation of Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention

Recommendation Algorithm大规模推荐算法库，包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、AITM，DSIN，SIGN，IPREC、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESM…

推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

练习下用pytorch来复现下经典的推荐系统模型, 如MF, FM, DeepConn, MMOE, PLE, DeepFM, NFM, DCN, AFM, AutoInt, ONN, FiBiNET, DCN-v2, AFN, DCAP等

[IJCAI'2023] "DSL: Denoised Self-Augmented Learning for Social Recommendation"

Implement of our TKDE paper: Hyperbolic Graph Learning for Social Recommendation

Adaptive Hardness Negative Sampling for Collaborative Filtering, AAAI2024

Code implementation for our paper "Learning Time Slot Preferences via Mobility Tree for Next POI Recommendation" (AAAI-2024)

SUnO: Distributional Off-Policy Evaluation for Slate Recommendations

An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention, AAAI-24

The source code is for the paper: “Plug-in Diffusion Model for Sequential Recommendation” accepted in AAAI 2024 by Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin and Zhanhui Kang.

[AAAI 2024] Official Pytorch Implementation for "LGMRec: Local and Global Graph Learning for Multimodal Recommendation".

This repository contains the code for our AAAI 24 paper titled No prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation

[AAAI 2024] The open source code for "STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation".

The code of AAAI'24 paper GLRec: Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations

Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Bridging LLM and Recommender System.

Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"