The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation

Get up and running with Llama 2, Mistral, Gemma, and other large language models.

Scripts for fine-tuning Llama2 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization & question answering. S…

Repository for G-Retriever

A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.

Large pre-trained Foundation recommender models

Paper List for Recommend-system PreTrained Models

Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.

Large Language Model-enhanced Recommender System Papers

This is the repo for the survey of LLM4IR.

Recommender systems with large language models (Paper list)

A collection of AWESOME things about Graph-Related LLMs.

A list of awesome papers and resources of recommender system on large language model (LLM).

Semantic Segmentation in Pytorch. Network include: FCN、FCN_ResNet、SegNet、UNet、BiSeNet、BiSeNetV2、PSPNet、DeepLabv3_plus、 HRNet、DDRNet

Google Research

GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22

Python package built to ease deep learning on graph, on top of existing DL frameworks.

CogDL: An Extensive Toolkit for Deep Learning on Graphs (Graph Neural Networks, GNN)

Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks

Code for HCCF model proposed in Hypergraph Contrastive Collaborative Filtering in SIGIR'2022