Abstract: Graph neural networks have proved to be a key tool for dealing with many problems and domains, such as chemistry, natural language processing, and social networks. While the structure of the ...

Alongside the answer key, the SSC has also published the candidates' response sheets and question papers on its official website — ssc.gov.in This allows the 13.5 lakh aspirants who appeared for the ...

Thank you very much for your interesting work "Let’s Grow an Unbiased Community: Guiding the Fairness of Graphs via New Links" and for sharing the repository! I noticed that while the paper is linked ...

Abstract: Most existing graph neural networks (GNNs) learn node embeddings using the framework of message passing and aggregation. Such GNNs are incapable of learning relative positions between graph ...