Browsing by Subject "Graph neural networks"

Now showing items 1-2 of 2

    • Learning From Attributed Networks - Embedding, Theory, and Interactions 
      Huang, Xiao (2020-04-15)
      Networks are widely adopted to represent the relations between objects in many disciplines. In real-world scenarios, nodes are often associated with a rich set of data describing their characteristics, such as social ...
    • Topology and Position Aware Graph Neural Networks 
      Liu, Yi (2022-07-05)
      In machine learning, real-world objects such as molecules and proteins are naturally formulated as graphs. Two types of information are vital for graph representation learning; those are, topology information and position ...