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Marp for VS Code: Create slide deck written in Marp Markdown on VS Code

Federated Neural Collaborative Filtering (FedNCF). Neural Collaborative Filtering utilizes the flexibility, complexity, and non-linearity of Neural Network to build a recommender system. Aim to fed…

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

SUnO: Distributional Off-Policy Evaluation for Slate Recommendations

An index of algorithms for offline reinforcement learning (offline-rl)

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

A novel preference-driven multi-objective reinforcement learning algorithm using a single policy network that covers the entire preference space in a given domain.

Author's PyTorch implementation of BCQ for continuous and discrete actions

强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

Accompanied repositories for our paper Graph foundation model

TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

Graph Neural Networks for Tabular Data Learning (GNN4TDL)

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The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.

总结Prompt&LLM论文，开源数据&模型，AIGC应用

Reading list of hallucination in LLMs. Check out our new survey paper: "Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models"

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

轩辕：度小满中文金融对话大模型

Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

This project's goal is to evaluate the privacy leakage of differentially private machine learning models.

[SIGIR 2024 perspective] The implementation of paper "On Generative Agents in Recommendation"

The code of GDCN

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

A collection of AWESOME things about Graph-Related LLMs.

A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).