Graph neural networks (GNNs) could directly deal with the data of graph structure. Current GNNs are confined to the spatial domain and learn real low-dimensional embeddings in graph classification ...

Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation (WWW-2025). This is a PyTorch implementation of the GraphATA algorithm, which tries to address the ...

This step-by-step guide will walk you through programming the four essential buttons—Power, Volume Up, Volume Down, and Input—to seamlessly integrate your SuperBox remote with your TV.

However, significant individual variability in motor imagery electroencephalogram (MI-EEG) signals leads to poor generalization performance of MI-based BCI decoding methods to new patients. This paper ...

Cardano developer Input | Output, and Hedera, have joined Algorand Foundation, Hashgraph (formerly Swirlds Labs), Ripple, and XRPL Labs, as the final Founding Members of the Decentralized Recovery ...

We provide a frequency response measurement here that we believe is representative of the overall sound quality of our Headphones. This appendix will explain what the graph means and what information ...

Essentially all sound card CODECs have AC coupled inputs, and even though the rated cutoff frequency of the associated RC time constant may be as low as 10Hz (as was the case for the CODEC used to ...

Within a few months of implementing their Domain Graph Service Framework (DGS), Netflix has open-sourced DGS to the Java community. This framework improves the usage of GraphQL for standalone and fed ...