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 ...

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Graph classification has been a prominent problem in graph machine learning fields. This problem has been investigated by leveraging message passing neural networks (MPNNs) to learn powerful graph ...

Automatic Modulation Recognition (AMR) is an essential part of Intelligent Transportation System (ITS) dynamic spectrum allocation. However, current deep learning-based AMR (DL-AMR) methods are ...

We present a method for autogenerating a large domain-specific question-answering (QA) dataset from a thermoelectric materials database. We show that a small language model, BERT, once fine-tuned on ...

They don’t restore function,” says co-author Bruce Yankner, a geneticist at Harvard Medical School in Boston, Massachusetts. “We don’t yet have the penicillin for Alzheimer’s,” he says.

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In economics, scarcity is a shortage in the supply of a resource that forces up its price, reducing its distribution to the consumers willing to pay a higher price.

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