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Found 3 papers, 1 papers with code
CIN++: Enhancing Topological Message Passing
Our message passing scheme accounts for the aforementioned limitations by letting the cells to receive also lower messages within each layer.
Ranked #1 on
Graph Classification
on HIV dataset
Expressiveness Remarks for Denoising Diffusion Models and Samplers
Denoising diffusion models are a class of generative models which have recently achieved state-of-the-art results across many domains.
Graph Neural Networks for Breast Cancer Data Integration
Hence, we propose a novel learning pipeline comprising three steps - the integration of cancer data modalities as graphs, followed by the application of Graph Neural Networks in an unsupervised setting to generate lower-dimensional embeddings from the combined data, and finally feeding the new representations on a cancer sub-type classification model for evaluation.
