A5088082439- Advanced Graph Neural Networks
- Complex Network Analysis Techniques
- Advanced Computing and Algorithms
- Regional Development and Environment
- Academic Publishing and Open Access
- Educational Reforms and Innovations
- Medical Research and Treatments
- Bioinformatics and Genomic Networks
Chongqing University
2014-2020
The link prediction can be used to seek missing or future links in the network, so it has become a hot research topic. network generally contains two types of information: topological structure formed by connection between nodes, and attribute information nodes. However, existing topology-based algorithms consider little information. In this paper, novel algorithm called Network Embedding with Attribute Deep Fusion for Link Prediction (NEADF-LP) is proposed. We get embedded vectors encoder...
With the economic development of times and changes in consumer market, end epidemic various sectors economy began to recover, which brought about fierce competition market. People's living standards purchasing power improve at same time, groups have changed with times, after nine or five become an important part groups, this type philosophy traditional concepts are very different, practicality product, durability is no longer focus attention. Various industries need keep up carry out...
Network representation learning is proposed to make it easier perform complex inference processes on large-scale networks. It aims represent each node in the network as a low-dimensional potential while preserving structure and inherent features of network. Most existing methods do not consider comprehensive or rich semantics between nodes, which lead incomplete embeddings. We attempt find way learn keeping relations nodes address this issue. In paper, we propose Community Aware Relational...