8 citations · 10 across the 6 of their papers we have counts for
6 papers
DAG: Deep Adaptive and Generative -Free Community Detection on Attributed Graphs
Chang Liu, Yuwen Yang, Yue Ding +4
Community detection on attributed graphs with rich semantic and topological information offers great potential for real-world network analysis, especially user matching in online g…
Generating Negative Samples for Multi-Modal Recommendation
Yanbiao Ji, Dan Luo, Chang Liu +6
Multi-modal recommender systems (MMRS) have gained significant attention due to their ability to leverage information from various modalities to enhance recommendation quality. How…
How Does Topology Bias Distort Message Passing? A Dirichlet Energy Perspective
Yanbiao Ji, Yue Ding, Dan Luo +4
Graph-based recommender systems have achieved remarkable effectiveness by modeling high-order interactions between users and items. However, such approaches are significantly under…
From Anchors to Answers: A Novel Node Tokenizer for Integrating Graph Structure into Large Language Models
Yanbiao Ji, Chang Liu, Xin Chen +5
Enabling large language models (LLMs) to effectively process and reason with graph-structured data remains a significant challenge despite their remarkable success in natural langu…
Towards Personalized Federated Multi-Scenario Multi-Task Recommendation
Yue Ding, Yanbiao Ji, Xun Cai +7
In modern recommender systems, especially in e-commerce, predicting multiple targets such as click-through rate (CTR) and post-view conversion rate (CTCVR) is common. Multi-task re…
UNIDEAL: Curriculum Knowledge Distillation Federated Learning
Yuwen Yang, Chang Liu, Xun Cai +3
Federated Learning (FL) has emerged as a promising approach to enable collaborative learning among multiple clients while preserving data privacy. However, cross-domain FL tasks, w…