ABSTRACT In academia, to represent the relationships between researchers or papers, the traditional way is to analyze the citation network constructed by paper citation relationships. Our major contribution is that we incorporated multiple networks from the publication dataset, such as the paper citation network, author citation network, author collaboration network, etc. These networks can pro...

Research on Graph Neural Networks has influenced various current real-world problems. The graph-based approach is considered capable of effectively representing the actual state surrounding data by utilizing nodes, edges, and features. Consider feedforward neural network graph approaches, we determine accuracy each method. In baseline experiment, training testing were performed using NN approac...

Citation between papers can be treated as a causal relationship. In addition, some citation networks have a number of similarities to the causal networks in network cosmology, e.g., the similar in-and out-degree distributions. Hence, it is possible to model the citation network using network cosmology. The casual network models built on homogenous spacetimes have some restrictions when describi...