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Behavior-Contextualized Item Preference Network for Multi-Behavior Recommendation
Representation Learning in Continuous-Time Dynamic Signed Networks, CIKM 23
🐼PANDA: Expanded Width-Aware Message Passing Beyond Rewiring, ICML 2024
MuLe: Multi-Grained Graph Learning for Multi-Behavior Recommendation (CIKM 2024)
SVD-AE: Simple Autoencoders for Collaborative Filtering
weiwei1206 / CML
Forked from anonymousCML/CMLThe implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation
A Comprehensive Survey of Self-Supervised Learning for Recommendation
About Implementation of Learning Disentangled Representations in Signed Directed Graphs without Social Assumptions (InfoSci-24)
pix2tex: Using a ViT to convert images of equations into LaTeX code.
A Survey of Learning from Graphs with Heterophily
Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.
Introducing Bundle Recommendation in Conversational Recommendation Scenarios on RecSys 2022
Paper List for Recommend-system PreTrained Models
A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.
Implementation of Time-aware Random Walk Diffusion to Improve Dynamic Graph Learning (AAAI-23)
Large Language Model-enhanced Recommender System Papers
추천시스템 논문을 읽고 구현한 Code가 저장된 Repository
A list of awesome papers and resources of recommender system on large language model (LLM).
Graph Neural Network, Self-Supervised Learning, Contrastive Learning, RecSys, Transformer Papers Reading Notes.
The latest research progress of Contrastive Learning(CL), Data Augmentation(DA) and Self-Supervised Learning(SSL) in Recommender Systems
AKGR: Awesome Knowledge Graph Reasoning is a collection of knowledge graph reasoning works, including papers, codes and datasets
Efficient implementations of state-of-the-art linear attention models in Pytorch and Triton
Transformer based on a variant of attention that is linear complexity in respect to sequence length