Abstract: Graph unlearning has emerged as a pivotal method to delete information from an already trained graph neural network (GNN). One may delete nodes, a class of nodes, edges, or a class of edges.
Graph theory is moving from textbooks to traffic lights, powering smarter transportation networks worldwide. From retail deliveries to freight corridors and urban commuting, it helps planners cut ...
Abstract: Recent years have witnessed fast developments of graph neural networks (GNNs) that have benefited myriad graph analytic tasks and applications. Most GNNs rely on the homophily assumption ...
4a6fe1b (HEAD -> main) [v1.0] After merge <┐ a8da1d8 Merge branch 'feature' │ 6874821 (feature) More feature work │ a92071e Add feature │ 18281f7 Main work ├─┘ f41a216 Second commit 4d6cd76 Initial ...
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