3 papers
cs.DB2026
LHGstore: An In-Memory Learned Graph Storage for Fast Updates and Analytics
Pengpeng Qiao, Zhiwei Zhang, Xinzhou Wang +3
Various real-world applications rely on in-memory dynamic graphs that must efficiently handle frequent updates while supporting low-latency analytics on evolving structures. Achiev…
cs.LG2026
HoGS: Homophily-Oriented Graph Synthesis for Local Differentially Private GNN Training
Wen Xu, Zhetao Li, Yong Xiao +3
Graph neural networks (GNNs) have demonstrated remarkable performance in various graph-based machine learning tasks by effectively modeling high-order interactions between nodes. H…
cs.CR2026
Spattack: Subgroup Poisoning Attacks on Federated Recommender Systems
Bo Yan, Yurong Hao, Dingqi Liu +5
Federated recommender systems (FedRec) have emerged as a promising approach to provide personalized recommendations while protecting user privacy. However, recent studies have show…