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SimCGNN: Simple Contrastive Graph Neural Network for Session-based Recommendation
Session-based recommendation (SBR) problem, which focuses on next-item prediction for anonymous users, has received increasingly more attention from researchers.
Mining and searching association relation of scientific papers based on deep learning
There is a complex correlation among the data of scientific papers.
Research on Domain Information Mining and Theme Evolution of Scientific Papers
In recent years, with the increase of social investment in scientific research, the number of research results in various fields has increased significantly.
Research topic trend prediction of scientific papers based on spatial enhancement and dynamic graph convolution network
To simultaneously capture the spatial dependencies and temporal changes between research topics, we propose a deep neural network-based research topic hotness prediction algorithm, a spatiotemporal convolutional network model.
Cross-Media Scientific Research Achievements Retrieval Based on Deep Language Model
Science and technology big data contain a lot of cross-media information. There are images and texts in the scientific paper. The s ingle modal search method cannot well meet the needs of scientific researchers. This paper proposes a cross-media scientific research achievements retrieval method based on deep language model (CARDL). It achieves a unified cross-media semantic representation by learning the semantic association between different modal data, and is applied to the generation of text semantic vector of scientific research achievements, and then cross-media retrieval is realized through semantic similarity matching between different modal data. Experimental results show that the proposed CARDL method achieves better cross-modal retrieval performance than existing methods.
Scientific and Technological Information Oriented Semantics-adversarial and Media-adversarial Cross-media Retrieval
In light of this, we propose a scientific and technological information oriented Semantics-adversarial and Media-adversarial Cross-media Retrieval method (SMCR) to find an effective common subspace.
