:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Tao, Zhen, Cao, Yuehang, Fang, Yang, Liu, Yunhui, Zhao, Xiang, He, Tieke
Format:	Preprint
Published:	2025
Subjects:	Social and Information Networks
Online Access:	https://arxiv.org/abs/2511.11969
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Task-Aware Retrieval Augmentation for Dynamic Recommendation
by: Tao, Zhen, et al.
Published: (2025)

Robust Multimodal Recommendation via Graph Retrieval-Enhanced Modality Completion
by: Li, Yuan, et al.
Published: (2026)

Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation
by: Zhao, Chu, et al.
Published: (2024)

Cross-Domain Sequential Recommendation via Neural Process
by: Li, Haipeng, et al.
Published: (2024)

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

Homophily Enhanced Graph Domain Adaptation
by: Fang, Ruiyi, et al.
Published: (2025)

Consistency and Discrepancy-Based Contrastive Tripartite Graph Learning for Recommendations
by: Guo, Linxin, et al.
Published: (2024)

BotDGT: Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers
by: He, Buyun, et al.
Published: (2024)

Bi-Level Graph Structure Learning for Next POI Recommendation
by: Wang, Liang, et al.
Published: (2024)

Spectral-Based Graph Neural Networks for Complementary Item Recommendation
by: Luo, Haitong, et al.
Published: (2024)

Graph Domain Adaptation via Homophily-Agnostic Reconstructing Structure
by: Fang, Ruiyi, et al.
Published: (2026)

CDRNP: Cross-Domain Recommendation to Cold-Start Users via Neural Process
by: Li, Xiaodong, et al.
Published: (2024)

Dynamic Graph with Similarity-Aware Attention Graph Neural Network for Recommender Systems
by: Senapati, Aadarsh, et al.
Published: (2026)

Graph Generation with $K^2$-trees
by: Jang, Yunhui, et al.
Published: (2023)

On the Cross-type Homophily of Heterogeneous Graphs: Understanding and Unleashing
by: Tao, Zhen, et al.
Published: (2025)

Learning Accurate, Efficient, and Interpretable MLPs on Multiplex Graphs via Node-wise Multi-View Ensemble Distillation
by: Liu, Yunhui, et al.
Published: (2025)

Semantic Codebook Learning for Dynamic Recommendation Models
by: Lv, Zheqi, et al.
Published: (2024)

Structure-Centric Graph Foundation Model via Geometric Bases
by: He, Xiaodong, et al.
Published: (2026)

Out-of-Distribution Detection in Heterogeneous Graphs via Energy Propagation
by: Yin, Tao, et al.
Published: (2025)

On the Feasibility of Simple Transformer for Dynamic Graph Modeling
by: Wu, Yuxia, et al.
Published: (2024)

Contrastive Learning Augmented Social Recommendations
by: Wang, Lin, et al.
Published: (2025)

GraphMU: Repairing Robustness of Graph Neural Networks via Machine Unlearning
by: Wu, Tao, et al.
Published: (2024)

Link Recommendation to Augment Influence Diffusion with Provable Guarantees
by: Chen, Xiaolong, et al.
Published: (2024)

Learning Social Graph for Inactive User Recommendation
by: Liu, Nian, et al.
Published: (2024)

Bending the Scaling Law Curve in Large-Scale Recommendation Systems
by: Ding, Qin, et al.
Published: (2026)

Matrix Factorization with Dynamic Multi-view Clustering for Recommender System
by: Gao, Shangde, et al.
Published: (2025)

Spectral-Aware Augmentation for Enhanced Graph Representation Learning
by: Yang, Kaiqi, et al.
Published: (2023)

Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation
by: Zhang, Ruizhe, et al.
Published: (2024)

Can Modifying Data Address Graph Domain Adaptation?
by: Huang, Renhong, et al.
Published: (2024)

Separated Contrastive Learning for Matching in Cross-domain Recommendation with Curriculum Scheduling
by: Chang, Heng, et al.
Published: (2025)

Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation
by: Hu, Jun, et al.
Published: (2024)

Data Augmentation for Supervised Graph Outlier Detection via Latent Diffusion Models
by: Liu, Kay, et al.
Published: (2023)

Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing Approach
by: Li, Yicong, et al.
Published: (2024)

How to Achieve Justice through Big Data: A Study Based on Credit Card Cases in Beijing
by: Lin, Cheng-To, et al.
Published: (2024)

Augmented Degree Correction for Bipartite Networks with Applications to Recommender Systems
by: Leinwand, Benjamin, et al.
Published: (2023)

RABot: Reinforcement-Guided Graph Augmentation for Imbalanced and Noisy Social Bot Detection
by: Zhang, Longlong, et al.
Published: (2026)

Inductive Dual-Polarity Modeling via Static-Dynamic Disentanglement for Dynamic Signed Networks
by: Hou, Yikang, et al.
Published: (2026)

DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation
by: Wang, Pengyun, et al.
Published: (2024)

Building a Recommendation System Using Amazon Product Co-Purchasing Network
by: Liu, Minghao, et al.
Published: (2025)

EX-Graph: A Pioneering Dataset Bridging Ethereum and X
by: Wang, Qian, et al.
Published: (2023)