SGR turns adversarial shortcuts into teachers, isolating invariant subgraph rationales and delivering the first XGL framework ...

Graphs are widely used to represent complex relationships in everyday applications such as social networks, bioinformatics, and recommendation ...

Graphs are widely used to represent complex relationships in everyday applications such as social networks, bioinformatics, ...

Abstract: While graph neural networks (GNNs) have become the de facto standard for graph-based node classification, they impose a strong assumption on the availability of sufficient labeled samples.

I work with graphs and subgraphs that can be interrupted. When I update the state of the parent graph after interrupting a node in the subgraph, two issues occur: The parent graph’s state doesn’t ...

Let H be a (non-empty) graph on n vertices, possibly containing isolated vertices. Let fH(G)=1 iff the input graph G on n vertices contains H as a (not necessarily induced) subgraph. Let αH denote the ...

Early work established polynomial-time algorithms for finding the densest subgraph, followed by explorations of size-constrained variants and extensions to multiple graph snapshots. Researchers have ...

The Graph Network, a decentralized indexing layer for blockchain data, said it has expanded its data accessibilities to over 40 blockchains. The chains include Arbitrum, Avalanche, Base and Celo to ...

We implemented an algorithm, that finds Density Bursting Subgraphs (DBS) in the Facebook Wall Posts dataset. In this dataset, a DBS identifies a fast emerging community of users who actively interact ...

Due to the worldwide shortage of developers, growing talent gap, and budgetary challenges faced by small- and medium-sized businesses in hiring software teams, low-code or no-code frameworks are the ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Designing molecular structures with desired chemical properties is an essential task ...