Cover Image

Learning Binarized Representations with Pseudo-positive Sample Enhancement for Efficient Graph Collaborative Filtering

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Yankai, Que, Yue, Zhang, Xinni, Ma, Chen, King, Irwin
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval
by: Qiu, Zexuan, et al.
Published: (2024)

Towards Effective Top-N Hamming Search via Bipartite Graph Contrastive Hashing
by: Chen, Yankai, et al.
Published: (2024)

Adaptive Hardness Negative Sampling for Collaborative Filtering
by: Lai, Riwei, et al.
Published: (2024)

From Pairwise to Ranking: Climbing the Ladder to Ideal Collaborative Filtering with Pseudo-Ranking
by: Zhao, Yuhan, et al.
Published: (2024)

G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation
by: Li, Yuhan, et al.
Published: (2025)

Unifying Graph Convolution and Contrastive Learning in Collaborative Filtering
by: Wu, Yihong, et al.
Published: (2024)

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

Representation Quantization for Collaborative Filtering Augmentation
by: Luo, Yunze, et al.
Published: (2025)

Causality-aware Graph Aggregation Weight Estimator for Popularity Debiasing in Top-K Recommendation
by: Que, Yue, et al.
Published: (2025)

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

PULSE: Socially-Aware User Representation Modeling Toward Parameter-Efficient Graph Collaborative Filtering
by: Choi, Doyun, et al.
Published: (2026)

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

Lightweight Embeddings with Graph Rewiring for Collaborative Filtering
by: Liang, Xurong, et al.
Published: (2025)

Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering
by: Chen, Huiyuan, et al.
Published: (2023)

General Debiasing for Graph-based Collaborative Filtering via Adversarial Graph Dropout
by: Zhang, An, et al.
Published: (2024)

Light distillation for Incremental Graph Convolution Collaborative Filtering
by: Fan, X, et al.
Published: (2025)

DecKG: Decentralized Collaborative Learning with Knowledge Graph Enhancement for POI Recommendation
by: Zheng, Ruiqi, et al.
Published: (2024)

Discrete Scale-invariant Metric Learning for Efficient Collaborative Filtering
by: Zhang, Yan, et al.
Published: (2025)

ASPIRE: Make Spectral Graph Collaborative Filtering Great Again via Adaptive Filter Learning
by: He, Yunhang, et al.
Published: (2026)

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

Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformation
by: Xu, Jinfeng, et al.
Published: (2024)

Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks
by: Zhang, Yijie, et al.
Published: (2024)

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

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

Graph Neural Controlled Differential Equations For Collaborative Filtering
by: Xu, Ke, et al.
Published: (2025)

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

Unbiased Collaborative Filtering with Fair Sampling
by: Liu, Jiahao, et al.
Published: (2025)

Diversity-Augmented Negative Sampling for Implicit Collaborative Filtering
by: Xuan, Yueqing, et al.
Published: (2025)

Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative Filtering
by: Zhang, Yi, et al.
Published: (2024)

Wasserstein Dependent Graph Attention Network for Collaborative Filtering with Uncertainty
by: Li, Haoxuan, et al.
Published: (2024)

Rethinking Contrastive Learning for Graph Collaborative Filtering: Limitations and a Simple Remedy
by: Lee, Geon, et al.
Published: (2026)

TwinCL: A Twin Graph Contrastive Learning Model for Collaborative Filtering
by: Liu, Chengkai, et al.
Published: (2024)

UTCS: Effective Unsupervised Temporal Community Search with Pre-training of Temporal Dynamics and Subgraph Knowledge
by: Zhang, Yue, et al.
Published: (2025)

A Node-Aware Dynamic Quantization Approach for Graph Collaborative Filtering
by: Li, Lin, et al.
Published: (2025)

Diffusion-augmented Graph Contrastive Learning for Collaborative Filter
by: Huang, Fan, et al.
Published: (2025)

Unveiling Contrastive Learning's Capability of Neighborhood Aggregation for Collaborative Filtering
by: Zhang, Yu, et al.
Published: (2025)

Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering
by: Sun, Peijie, et al.
Published: (2024)

Graph Signal Diffusion Model for Collaborative Filtering
by: Zhu, Yunqin, et al.
Published: (2023)

Dual-Tree LLM-Enhanced Negative Sampling for Implicit Collaborative Filtering
by: Wu, Jiayi, et al.
Published: (2026)

A Unified Framework for Adaptive Representation Enhancement and Inversed Learning in Cross-Domain Recommendation
by: Zhang, Luankang, et al.
Published: (2024)