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awesome-llm-for-recsys icon awesome-llm-for-recsys

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

cml icon cml

The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation

cogdl icon cogdl

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

compiler icon compiler

Principle of Compiler Curriculum Design

dgl icon dgl

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

diplomaproject icon diplomaproject

Hypergraph Attentive Graph Neural Network for Sequential Recommendation with Behavior Heterogeneity.

ehcf icon ehcf

This is our implementation of EHCF: Efficient Heterogeneous Collaborative Filtering (AAAI 2020)

graphmae icon graphmae

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

hccf icon hccf

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

hgsl icon hgsl

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

lattice icon lattice

[ACMMM 2021] PyTorch implementation for "Mining Latent Structures for Multimedia Recommendation"

llama-recipes icon llama-recipes

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. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment.Demo apps to showcase Llama2 for WhatsApp & Messenger

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