Large-scale graph neural network (GNN) training presents formidable challenges, particularly concerning the scale and complexity of graph data. These challenges…
Large-scale graph neural network (GNN) training presents formidable challenges, particularly concerning the scale and complexity of graph data. These challenges extend beyond the typical concerns of neural network forward and backward computations, encompassing issues such as bandwidth-intensive graph feature gathering and sampling, and the limitations of single GPU capacities.

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Large language models (LLMs) have revolutionized natural language processing (NLP) with their ability to learn from massive amounts of text and generate fluent…
Sentiment analysis is the automated interpretation and classification of emotions (usually positive, negative, or neutral) from textual data such as written…