4 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 2 cited
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets
Shubham Gupta, Sahil Manchanda, Sayan Ranu +1
Graph neural networks (GNNs), in general, are built on the assumption of a static set of features characterizing each node in a graph. This assumption is often violated in practice…
cs.LG2022★ 4 cited
A Survey on Temporal Graph Representation Learning and Generative Modeling
Shubham Gupta, Srikanta Bedathur
Temporal graphs represent the dynamic relationships among entities and occur in many real life application like social networks, e commerce, communication, road networks, biologica…
cs.ET2014★ 1 cited
Synthesis of Sequential Reversible Circuits through Finite State Machine
Shubham Gupta
Reversible computing has attracted the attention of researchers due to its low power consumption and less heat dissipation compared to conventional computing. A number of reversibl…