所有小初高、大学PDF教材。

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Bridging LLM and Recommender System.

Sandbox to analysis and benchmarking Graph Transformer Neural Networks

Graph-Mamba: Towards Long-Range Graph Sequence Modelling with Selective State Spaces

SSD4Rec: A Structured State Space Duality Model for Efficient Sequential Recommendation

Only implemented through torch: "bi - mamba2" , "vision- mamba2 -torch". support 1d/2d/3d/nd and support export by jit.script/onnx;

PyTorch implementation of "Simple and Deep Graph Convolutional Networks"

Must-read papers on graph neural networks (GNN)

The code Implementation of the paper “KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks".

Implementation of MoE Mamba from the paper: "MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts" in Pytorch and Zeta

PyTorch(1.6+) implementation of https://github.com/kang205/SASRec

收集各大AndroidTV的apk应用，可免费看vip和国外电影电视。如大家有也可以贡献一下。

Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph Machine Learning.

An index for papers on large language model agents for recommendation and search.

Survey on LLM Agents (Published on CoLing 2025)

Some Conferences' accepted paper lists (including AI, ML, Robotic)

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

A list of compatible datasets, noting other major repositories containing popular real-world datasets, along with sample code for a range of recommendation tasks.

[ICML 2024] Rethinking Independent Cross-Entropy Loss For Graph-Structured Data