329 citations · 707 across the 11 of their papers we have counts for
11 papers
Attributed Multi-order Graph Convolutional Network for Heterogeneous Graphs
Zhaoliang Chen, Zhihao Wu, Luying Zhong +3
Heterogeneous graph neural networks aim to discover discriminative node embeddings and relations from multi-relational networks.One challenge of heterogeneous graph learning is the…
Large-scale full-programmable quantum walk and its applications
Yizhi Wang, Yingwen Liu, Junwei Zhan +22
With photonics, the quantum computational advantage has been demonstrated on the task of boson sampling. Next, developing quantum-enhanced approaches for practical problems becomes…
Lightweight image super-resolution with enhanced CNN
Chunwei Tian, Ruibin Zhuge, Zhihao Wu +4
Deep convolutional neural networks (CNNs) with strong expressive ability have achieved impressive performances on single image super-resolution (SISR). However, their excessive amo…
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation
Nima Tajbakhsh, Laura Jeyaseelan, Qian Li +3
The medical imaging literature has witnessed remarkable progress in high-performing segmentation models based on convolutional neural networks. Despite the new performance highs, t…
Improving local clustering based top-L link prediction methods via asymmetrical link clustering information
Zhihao Wu, Youfang Lin, Yiji Zhao +1
Networks can represent a wide range of complex systems, such as social, biological and technological systems. Link prediction is one of the most important problems in network analy…
Link Prediction with Node Clustering Coefficient
Zhihao Wu, Youfang Lin, Jing Wang +1
Predicting missing links in incomplete complex networks efficiently and accurately is still a challenging problem. The recently proposed CAR (Cannistrai-Alanis-Ravai) index shows t…
Mesoscopic Structures Reveal the Network Between the Layers of Multiplex Datasets
Jacopo Iacovacci, Zhihao Wu, Ginestra Bianconi
Multiplex networks describe a large variety of complex systems, whose elements (nodes) can be connected by different types of interactions forming different layers (networks) of th…
A parameter free similarity index based on clustering ability for link prediction in complex networks
Zhihao Wu, Youfang Lin, Yao Zhao
Link prediction in complex network based on solely topological information is a challenging problem. In this paper, we propose a novel similarity index, which is efficient and para…
Complex Quantum Network Geometries: Evolution and Phase Transitions
Ginestra Bianconi, Christoph Rahmede, Zhihao Wu
Networks are topological and geometric structures used to describe systems as different as the Internet, the brain or the quantum structure of space-time. Here we define complex qu…
Emergent Complex Network Geometry
Zhihao Wu, Giulia Menichetti, Christoph Rahmede +1
Networks are mathematical structures that are universally used to describe a large variety of complex systems such as the brain or the Internet. Characterizing the geometrical prop…
Inferring High Quality Co-Travel Networks
Youfang Lin, Xuguang Jia, Mingjie Lin +3
Social networks provide a new perspective for enterprises to better understand their customers and have attracted substantial attention in industry. However, inferring high quality…