Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
A survey on hypergraph representation learning
Hypergraphs have attracted increasing attention in recent years thanks to their flexibility in
naturally modeling a broad range of systems where high-order relationships exist among …
naturally modeling a broad range of systems where high-order relationships exist among …
Heterogeneous hypergraph embedding for graph classification
Recently, graph neural networks have been widely used for network embedding because of
their prominent performance in pairwise relationship learning. In the real world, a more …
their prominent performance in pairwise relationship learning. In the real world, a more …
Heterogeneous hypergraph embedding for node classification in dynamic networks
Graphs are a foundational way to represent scenarios where objects interact in pairs.
Recently, graph neural networks (GNNs) have become widely used for modeling simple …
Recently, graph neural networks (GNNs) have become widely used for modeling simple …
Sparse relation prediction based on hypergraph neural networks in online social networks
In recent years, online social networks (OSNs) have thoroughly penetrated people's lives.
Since information always flows along with various online relations in OSNs, analysing these …
Since information always flows along with various online relations in OSNs, analysing these …
A discriminative-based geometric deep learning model for cross domain recommender systems
Recommender systems (RS) have been widely deployed in many real-world applications,
but usually suffer from the long-standing user/item cold-start problem. As a promising …
but usually suffer from the long-standing user/item cold-start problem. As a promising …
Heterogeneous Network Embedding: A Survey.
Real-world complex networks are inherently heterogeneous; they have different types of
nodes, attributes, and relationships. In recent years, variousmethods have been proposed to …
nodes, attributes, and relationships. In recent years, variousmethods have been proposed to …
A multifeature complementary attention mechanism for image topic representation in social networks
Image topic representation in social networks is vital for people to get significant and
valuable content. However, this task is difficult and challenging due to the complexity of …
valuable content. However, this task is difficult and challenging due to the complexity of …
[PDF][PDF] Supplementary Material for: A Survey on Hypergraph Representation Learning
A ANTELMI, G CORDASCO, M POLATO, V SCARANO… - 2023 - alessant.github.io
We conducted our literature review by in-depth reading, interpreting, and categorizing
articles addressing the problem of generating a low-dimensional representation of a …
articles addressing the problem of generating a low-dimensional representation of a …
Hypergraph Computation for Computer Vision
Q Dai, Y Gao - Hypergraph Computation, 2023 - Springer
In this chapter, the applications of hypergraph computation in computer vision are
introduced. Computer vision is one of the most widely used areas of hypergraph …
introduced. Computer vision is one of the most widely used areas of hypergraph …
Transformers for real world video question answering
A processor may receive a video including a plurality of video frames in sequence and a
question regarding the video. For a video frame in the plurality of video frames, a processor …
question regarding the video. For a video frame in the plurality of video frames, a processor …