1 citations · 1 across the 3 of their papers we have counts for
3 papers
eess.SY2024
AEPHORA: AI/ML-Based Energy-Efficient Proactive Handover and Resource Allocation
Bowen Xie, Sheng Zhou, Zhisheng Niu +2
Future Vehicle-to-Everything (V2X) scenarios require high-speed, low-latency, and ultra-reliable communication services, particularly for applications such as autonomous driving an…
cs.IR2024
Distributionally Robust Graph-based Recommendation System
Bohao Wang, Jiawei Chen, Changdong Li +6
With the capacity to capture high-order collaborative signals, Graph Neural Networks (GNNs) have emerged as powerful methods in Recommender Systems (RS). However, their efficacy of…
cs.IR2024★ 1 cited
Macro Graph Neural Networks for Online Billion-Scale Recommender Systems
Hao Chen, Yuanchen Bei, Qijie Shen +6
Predicting Click-Through Rate (CTR) in billion-scale recommender systems poses a long-standing challenge for Graph Neural Networks (GNNs) due to the overwhelming computational comp…