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Detecting Small Query Graphs in A Large Graph via Neural Subgraph Search
[article]
2022
arXiv
pre-print
Recent advances have shown the success of using reinforcement learning and search to solve NP-hard graph-related tasks, such as Traveling Salesman Optimization, Graph Edit Distance computation, etc. However, it remains unclear how one can efficiently and accurately detect the occurrences of a small query graph in a large target graph, which is a core operation in graph database search, biomedical analysis, social group finding, etc. This task is called Subgraph Matching which essentially
arXiv:2207.10305v2
fatcat:v7swgusdevbsdcxi2gzd4thrum