Cover Image

How Powerful is Graph Filtering for Recommendation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Peng, Shaowen, Liu, Xin, Sugiyama, Kazunari, Mine, Tsunenori
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Balancing Embedding Spectrum for Recommendation
by: Peng, Shaowen, et al.
Published: (2024)

Privacy-Preserving Sequential Recommendation with Collaborative Confusion
by: Wang, Wei, et al.
Published: (2024)

QAGCF: Graph Collaborative Filtering for Q&A Recommendation
by: Zhang, Changshuo, et al.
Published: (2024)

AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations
by: Wu, Wei, et al.
Published: (2024)

Multi-LLM Token Filtering and Routing for Sequential Recommendation
by: Chen, Wuhan, et al.
Published: (2026)

CEMG: Collaborative-Enhanced Multimodal Generative Recommendation
by: Lin, Yuzhen, et al.
Published: (2025)

Graph Spectral Filtering with Chebyshev Interpolation for Recommendation
by: Kim, Chanwoo, et al.
Published: (2025)

Secure Federated Graph-Filtering for Recommender Systems
by: Nicolas, Julien, et al.
Published: (2025)

Transparent and Controllable Recommendation Filtering via Multimodal Multi-Agent Collaboration
by: Zhang, Chi, et al.
Published: (2026)

Combining social relations and interaction data in Recommender System with Graph Convolution Collaborative Filtering
by: Tran, Tin T., et al.
Published: (2025)

GSPRec: Temporal-Aware Graph Spectral Filtering for Recommendation
by: Rabiah, Ahmad Bin, et al.
Published: (2025)

Firzen: Firing Strict Cold-Start Items with Frozen Heterogeneous and Homogeneous Graphs for Recommendation
by: He, Hulingxiao, et al.
Published: (2024)

Wavelet Enhanced Adaptive Frequency Filter for Sequential Recommendation
by: Xu, Huayang, et al.
Published: (2025)

KGUF: Simple Knowledge-aware Graph-based Recommender with User-based Semantic Features Filtering
by: Bufi, Salvatore, et al.
Published: (2024)

A Hybrid Filtering for Micro-video Hashtag Recommendation using Graph-based Deep Neural Network
by: Bansal, Shubhi, et al.
Published: (2024)

Graph-Sequential Alignment and Uniformity: Toward Enhanced Recommendation Systems
by: Cao, Yuwei, et al.
Published: (2024)

Recommending Search Filters To Improve Conversions At Airbnb
by: Li, Hao, et al.
Published: (2026)

Training Large Recommendation Models via Graph-Language Token Alignment
by: Yang, Mingdai, et al.
Published: (2025)

Improving Collaborative Filtering Recommendation via Graph Learning
by: Wang, Yongyu
Published: (2023)

Squeeze and Excitation: A Weighted Graph Contrastive Learning for Collaborative Filtering
by: Chen, Zheyu, et al.
Published: (2025)

Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation
by: Zhang, Kaike, et al.
Published: (2024)

How Well Does Generative Recommendation Generalize?
by: Ding, Yijie, et al.
Published: (2026)

Amplify Graph Learning for Recommendation via Sparsity Completion
by: Yuan, Peng, et al.
Published: (2024)

GPFedRec: Graph-guided Personalization for Federated Recommendation
by: Zhang, Chunxu, et al.
Published: (2023)

LLM-Powered User Simulator for Recommender System
by: Zhang, Zijian, et al.
Published: (2024)

Filtering Discomforting Recommendations with Large Language Models
by: Liu, Jiahao, et al.
Published: (2024)

Disentangled Graph Variational Auto-Encoder for Multimodal Recommendation with Interpretability
by: Zhou, Xin, et al.
Published: (2024)

FilterLLM: Text-To-Distribution LLM for Billion-Scale Cold-Start Recommendation
by: Liu, Ruochen, et al.
Published: (2025)

Echoes in Filter Bubble: Diagnosing and Curing Popularity Bias in Generative Recommenders
by: Yin, Jun, et al.
Published: (2026)

Aiming at the Target: Filter Collaborative Information for Cross-Domain Recommendation
by: Li, Hanyu, et al.
Published: (2024)

An Efficient Multi-threaded Collaborative Filtering Approach in Recommendation System
by: Hasan, Mahamudul
Published: (2024)

DIFF: Dual Side-Information Filtering and Fusion for Sequential Recommendation
by: Kim, Hye-young, et al.
Published: (2025)

MUFFIN: Mixture of User-Adaptive Frequency Filtering for Sequential Recommendation
by: Baek, Ilwoong, et al.
Published: (2025)

GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems
by: Wu, Xinyi, et al.
Published: (2024)

PolyCF: Towards the Optimal Spectral Graph Filters for Collaborative Filtering
by: Qin, Yifang, et al.
Published: (2024)

Bursting Filter Bubble: Enhancing Serendipity Recommendations with Aligned Large Language Models
by: Xi, Yunjia, et al.
Published: (2025)

Feedback Reciprocal Graph Collaborative Filtering
by: Chen, Weijun, et al.
Published: (2024)

Lightweight Embeddings for Graph Collaborative Filtering
by: Liang, Xurong, et al.
Published: (2024)

Neural Causal Graph Collaborative Filtering
by: Wang, Xiangmeng, et al.
Published: (2023)

Knowledge Graph Context-Enhanced Diversified Recommendation
by: Liu, Xiaolong, et al.
Published: (2023)