• Analysis and Methods for Knowledge Graph Embeddings 

      Chandrahas
      Knowledge Graphs (KGs) are multi-relational graphs where nodes represent entities, and typed edges represent relationships among entities. These graphs store real-world facts such as (Lionel Messi, plays-for-team, Barcelona) ...
    • Deep Learning over Hypergraphs 

      Yadati, Naganand
      Graphs have been extensively used for modelling real-world network datasets, however, they are restricted to pairwise relationships, i.e., each edge connects exactly two vertices. Hypergraphs relax the notion of edges ...
    • Inducing Constraints in Paraphrase Generation and Consistency in Paraphrase Detection 

      Kumar, Ashutosh
      Deep learning models typically require a large volume of data. Manual curation of datasets is time-consuming and limited by imagination. As a result, natural language generation (NLG) has been employed to automate the ...