Leveraging PageRank and diffusion maps, the model achieved 84.6% accuracy in classifying HIV-associated tumors and identified key immunosuppressive markers, such as PD-L2 on tumor-associated macrophages and CD25 on infiltrating T cells. Here, PDCD1LG2 is linked to neoplasm.