The proposed model Multi-View United Transformer Block of Graph Attention Network (MVUT_GAT) outperforms the existing model by +3.4% which improves the robustness and generalizability of ASD ...

Arithmetic block identification in gate-level netlists plays an essential role for various purposes, including malicious logic detection, functional verification, or macro-block optimization. However, ...

Transformers have taken the machine learning world by storm with their powerful self-attention mechanism, achieving state-of-the-art results in areas like natural language processing and computer ...

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 ...

Graph Blockchain Inc. is pleased to announce that the Company signed, effective November 13, 2023, a definitive agreement to acquire DataMetrex Electric Vehicle Solutions Inc. from Datametrex AI ...

The current block layout algorithm in the JIT is based on local permutations of block order. It is complicated and likely far from optimal. We would like to improve the overall block layout algorithm ...

Support Dynamic Blocks: Read Evaluation Graphs and Block Visibility Parameters #161 Closed mme1950 opened on Aug 28, 2023 ...

DAG vs. Blockchain: Are directed acyclic graphs a better option than blockchain technology when it comes to building decentralized networks?

The Graph is a highly regarded protocol within the crypto industry. Edge & Node co-founder Tegan Kline tells Stockhead why it's significant.

The existing multikernel graph clustering (MKGC) methods have emerged with notable success on nonlinear clustering tasks since the graph learning can effectively capture graph structure similarity ...

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