As blockchain is redefining the future of finance, identity, communication, and ownership, the proper professionals with the ...

At ARVO 2025, in Salt Lake City, Utah, Patipol Tiyajamorn, talked about his poster on using graph neural networks to identify ...

The Graph Foundation has unveiled ambitious plans to integrate Chainlink’s Cross-Chain Interoperability Protocol (CCIP), a ...

The Graph offers access to competitive and cost-efficient decentralized data sets. The network boasts a 99.99% uptime and ...

The show quickly made its way onto Netflix’s top 10 most-watched list last week and has so far been watched a whopping 1.4 million times globally. Taking to X, viewers have praised the 10-part series, ...

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Abstract: We present a novel uncertain network visualization technique based on node-link diagrams. Nodes expand spatially in our probabilistic graph layout, depending on the underlying probability ...

Abstract: The graph attention network (GAT) [1] has started to become a mainstream neural network architecture since 2018, yielding remarkable performance gains in various natural language processing ...

The framework needs in total five environment variables: TRAINING_DATASET_SOURCE = data -> cad -> training (both data generator and graph neural network application) TEST_DATASET_SOURCE = data -> cad ...