15 citations · 23 across the 5 of their papers we have counts for
5 papers
Graph-based Knowledge Distillation: A survey and experimental evaluation
Jing Liu, Tongya Zheng, Guanzheng Zhang +1
Graph, such as citation networks, social networks, and transportation networks, are prevalent in the real world. Graph Neural Networks (GNNs) have gained widespread attention for t…
CXL over Ethernet: A Novel FPGA-based Memory Disaggregation Design in Data Centers
Chenjiu Wang, Ke He, Ruiqi Fan +4
Memory resources in data centers generally suffer from low utilization and lack of dynamics. Memory disaggregation solves these problems by decoupling CPU and memory, which current…
Long Short-Term Preference Modeling for Continuous-Time Sequential Recommendation
Huixuan Chi, Hao Xu, Hao Fu +5
Modeling the evolution of user preference is essential in recommender systems. Recently, dynamic graph-based methods have been studied and achieved SOTA for recommendation, majorit…
HIRE: Distilling High-order Relational Knowledge From Heterogeneous Graph Neural Networks
Jing Liu, Tongya Zheng, Qinfen Hao
Researchers have recently proposed plenty of heterogeneous graph neural networks (HGNNs) due to the ubiquity of heterogeneous graphs in both academic and industrial areas. Instead…
Residual Network and Embedding Usage: New Tricks of Node Classification with Graph Convolutional Networks
Huixuan Chi, Yuying Wang, Qinfen Hao +1
Graph Convolutional Networks (GCNs) and subsequent variants have been proposed to solve tasks on graphs, especially node classification tasks. In the literature, however, most tric…