Abstract: Graph cut algorithms are widely used to solve min-cut/max-flow problems across various optimization applications. A common approach in recent FPGA accelerators of graph cut algorithms is to ...

Quantum walks sound abstract, but they sit at the center of a very concrete race: who will harness quantum mechanics to solve problems that overwhelm today’s most powerful supercomputers. Instead of ...

Abstract: Due to its high computational complexity, graph-based methods have limited applicability in large-scale multiview clustering tasks. To address this issue, many accelerated algorithms, ...

The graph colouring problem, a classic NP-hard challenge, is central to many practical applications such as scheduling, resource allocation and network management. Recent advances have seen the ...

One major issue facing artificial intelligence is the interaction between a computer's memory and its processing capabilities. When an algorithm is in operation, data flows rapidly between these two ...

SGR turns adversarial shortcuts into teachers, isolating invariant subgraph rationales and delivering the first XGL framework ...

Working with the team that built Letterboxd, Community Center is an early attempt to integrate audience-building into ...

With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...