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Found 4 papers, 3 papers with code
Graph Mamba: Towards Learning on Graphs with State Space Models
Motivated by the recent success of State Space Models (SSMs), such as Mamba, we present Graph Mamba Networks (GMNs), a general framework for a new class of GNNs based on selective SSMs.
CAT-Walk: Inductive Hypergraph Learning via Set Walks
Our evaluation on 10 hypergraph benchmark datasets shows that CAT-Walk attains outstanding performance on temporal hyperedge prediction benchmarks in both inductive and transductive settings.
CS-TGN: Community Search via Temporal Graph Neural Networks
The evolution of these networks over time has motivated several recent studies to identify local communities in temporal networks.
CS-MLGCN : Multiplex Graph Convolutional Networks for Community Search in Multiplex Networks
Existing CS approaches in multiplex networks adopt pre-defined subgraph patterns to model the communities, which cannot find communities that do not have such pre-defined patterns in real-world networks.
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