The present work is a Qiskit-based implementation of a method for solving the sub-graph isomorphism problem on a gate-based quantum computer. The method relies on a new representation of the adjacency ...
The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...
Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks ...
Problem: Extend the previous problem by adding obstacles to the grid (cells that are impassable). Goal: Learn how to handle grids where not all nodes are accessible. A* should find a way around ...
Abstract: Traditional maintenance mode can't meet the demand, but graph neural network (GNN) has advantages in processing graph structure data, which provides the possibility for solving related ...
Protein complexes play a crucial role in cellular biological processes. Identifying these complexes is essential for understanding cellular functions and biological mechanisms. Graph clustering ...
Complex Query Answering over incomplete knowledge graphs is a fundamental yet challenging task. Existing methods based on a pretrained knowledge graph embedding model have achieved good performance.
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