An Efficient "Factory" to Build Multiple LoRA Adapters

[EMNLP'2024] "OpenGraph: Towards Open Graph Foundation Models"

Reinforcement Knowledge Graph Reasoning for Explainable Recommendation

字节跳动短视频内容理解和推荐 Track2 Top8

Implementation of "RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation".

Multi-modal Molecule Structure-text Model for Text-based Editing and Retrieval, Nat Mach Intell 2023 (https://www.nature.com/articles/s42256-023-00759-6)

[WWW'2023] "MMSSL: Multi-Modal Self-Supervised Learning for Recommendation"

[KDD'22] Official PyTorch implementation for "Towards Universal Sequence Representation Learning for Recommender Systems".

State-of-the-art Parameter-Efficient MoE Fine-tuning Method

[ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"

[EMNLP'2024] "XRec: Large Language Models for Explainable Recommendation"

(WWW'24 + LinkedIn) The first RS that tightly combines LLM with ID-based RS

[NeurIPS'22 Spotlight] Data and code for our paper CoNT: Contrastive Neural Text Generation

A list of all "all you need" papers. Updated daily using the arXiv API.

RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation.

"GraphEdit: Large Language Models for Graph Structure Learning"

Langchain implementation of HuggingGPT

The implementation for the work "CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation".

Replication of the paper "Text Is All You Need: Learning Language Representations for Sequential Recommendation" on KDD'23.

[WSDM'2024 Oral] "DiffKG: Knowledge Graph Diffusion Model for Recommendation"

[WSDM'2023] "HGCL: Heterogeneous Graph Contrastive Learning for Recommendation"

[RelKD'24] Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models

Diagnostic benchmark suite to explicitly test logical relational reasoning on natural language

[ICML'2024] "FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction"

[ACM MM'2024]"DiffMM: Multi-Modal Diffusion Model for Recommendation"

[NeurIPS'2023] "GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks"

[CIKM'2024] "RecDiff: Diffusion Model for Social Recommendation"

[KDD'2023] "KGRec: Knowledge Graph Self-Supervised Rationalization for Recommendation"