Modern network-on-chip could include different types of nodes. Generally nodes that are of-chip external interconnections controllers – external nodes, are used in the system for I/O. Internal nodes ...

Heterogeneous graphs organize data with nodes and edges, and have been widely used in various graph-centric applications.

On Thursday the 24th of August 2023, M.Sc. Arpit Merchant defends his PhD thesis on Applications of Node Embeddings to Learning and Mining on Graphs. The thesis is related to research done in the ...

Classic Graph Convolutional Networks (GCNs) often learn node representation holistically, which would ignore the distinct impacts from different neighbors when aggregating their features to update a ...

Efficiently and quickly chewing through one trillion edges of a complex graph is no longer in itself a standalone achievement, but doing so on a single node, albeit with some acceleration and ...