Graph Neural Networks (GNNs) have achieved remarkable success in graph-based learning by propagating information among neighbor nodes via predefined aggregation mechanisms. However, such fixed schemes often suffer from two key limitations. First, they cannot handle the imbalance in node informativeness -- some nodes are rich in information, while others remain sparse. Second, predefined message passing primarily leverages local structural similarity while ignoring global semantic relationships across the graph, limiting the model's ability to capture distant but relevant information. We propose Retrieval-augmented Graph Agentic Network (ReaGAN), an agent-based framework that empowers each node with autonomous, node-level decision-making. Each node acts as an agent that independently plans its next action based on its internal memory, enabling node-level planning and adaptive message propagation. Additionally, retrieval-augmented generation (RAG) allows nodes to access semantically relevant content and build global relationships in the graph. ReaGAN achieves competitive performance under few-shot in-context settings using a frozen LLM backbone without fine-tuning, showcasing the potential of agentic planning and local-global retrieval in graph learning.

Recently several large language models (LLMs) have demonstrated their capability to generate a message in response to a user request. Such scientific breakthroughs promote new perspectives but also some fears. The main focus of this study is to analyze the written style of one LLM called ChatGPT 3.5 by comparing its generated messages with those of the recent US presidents. To achieve this objective, we compare the State of the Union addresses written by Reagan to Obama with those automatically produced by ChatGPT. We found that ChatGPT tends to overuse the lemma "we" as well as nouns and commas. On the other hand, the generated speeches employ less verbs and include, in mean, longer sentences. Even when imposing a given style to ChatGPT, the resulting speech remains distinct from messages written by the target author. Moreover, ChatGPT opts for a neutral tone with mainly positive emotional expressions and symbolic terms (e.g., freedom, nation). Finally, we show that the GPT's style exposes distinct features compared to real presidential addresses.

With polls showing voters' concerns over Biden's age, there are growing calls for him to prove his mental fitness ahead of a rematch with Trump.Michael Reynolds/EFE/ZUMA The daughter of the once-oldest president, Ronald Reagan, who was 77 when he took office, thinks cognitive tests for presidential candidates would be "a good idea," she said in an interview that aired Sunday. "Just what we know about what age can do, it doesn't always do that, but it would probably be a good idea," Patti Davis said on NBC's Meet the Press, in response to a question from host Kristen Welker about whether she agreed with the prospect. WATCH: When Ronald Reagan was elected at 69, he was the oldest person ever to be elected president. Now his daughter, Patti Davis, says cognitive tests would be a "good idea." Davis: "My father was 77 when he left office after two terms. It seems so young now, doesn't it?"

On Sunday, 22 January 1984, the Los Angeles Raiders defeated the Washington (then) Redskins 38-9 in Super Bowl XVIII. With the exception of a few aging Raiders' fans, what we all remember better from that evening 40 years ago was one advertisement that set the tone for a techno-optimism that would dominate the 21st century. The ad showed an auditorium full of zombie-like figures watching a projection of an elderly leader who resembled the Emperor from 1980's The Empire Strikes Back. A young, athletic woman in red and white (the colors of the flag of Poland, which had been engaging in a massive labor uprising against the Soviet-controlled communist state) twirls a hammer and throws it through the screen framing the leader's face, just as armored police rush in to try to stop her. The ad explicitly invoked George Orwell's dystopian novel Nineteen Eighty-Four.

Well curated, large-scale corpora of social media posts containing broad public opinion offer an alternative data source to complement traditional surveys. While surveys are effective at collecting representative samples and are capable of achieving high accuracy, they can be both expensive to run and lag public opinion by days or weeks. Both of these drawbacks could be overcome with a real-time, high volume data stream and fast analysis pipeline. A central challenge in orchestrating such a data pipeline is devising an effective method for rapidly selecting the best corpus of relevant documents for analysis. Querying with keywords alone often includes irrelevant documents that are not easily disambiguated with bag-of-words natural language processing methods. Here, we explore methods of corpus curation to filter irrelevant tweets using pre-trained transformer-based models, fine-tuned for our binary classification task on hand-labeled tweets. We are able to achieve F1 scores of up to 0.95. The low cost and high performance of fine-tuning such a model suggests that our approach could be of broad benefit as a pre-processing step for social media datasets with uncertain corpus boundaries.

Editor's note: What follows is exclusively adapted from a longer essay that was published as a part of the Ronald Reagan Institute's Essay Series on Presidential Principles and Beliefs which is premised on the conviction that President Reagan's words and ideas hold important lessons for today. You can find more about the essay series here. At the height of the Cold War, President Ronald Reagan had the foresight to call upon the nation to support the Strategic Defense Initiative, later known as the "Star Wars" defense system, to protect the United States from a potential USSR missile attack. Due to fierce Democrat opposition, our nation never fully built out our missile defense capability and doubled down on nuclear deterrence. We have relied upon our adversaries' fear that our nuclear weapons could destroy them to deter their use of nuclear weapons against us or our allies.

After 38 years as the head of the National Institute of Allergy and Infectious Diseases, Dr. Anthony Fauci announced on Monday that he will be stepping down from his role in December. Appointed to the position in 1984 by then-president Ronald Reagan, Fauci has personally overseen the federal government's response to some of the 20th century's deadliest infectious diseases -- from tuberculosis and COVID to SARS and MERS. But, as he told The Guardian in 2020, "my career and my identity has really been defined by HIV." The prevention and treatment of HIV has been a prioritized area of research for the NIAID since 1986, and one that Dr. Fauci has devoted much of his public service to. The current state of AIDS research and response in America is thanks in no small part to his continued efforts in the field.

Leptospirosis, a disease that dogs can get from drinking water contaminated with Leptospira bacteria, can cause kidney failure, liver disease and severe bleeding into the lungs. Early detection of the disease is crucial and may mean the difference between life and death. Veterinarians and researchers at the University of California, Davis, School of Veterinary Medicine have discovered a technique to predict leptospirosis in dogs through the use of artificial intelligence. After many months of testing various models, the team has developed one that outperformed traditional testing methods and provided accurate early detection of the disease. The groundbreaking discovery was published in the Journal of Veterinary Diagnostic Investigation.

Sen. Joni Ernst, R-Iowa, and former under Secretary of Defense for policy Michèle Flournoy discuss possible actions to take if Russia invades Ukraine. This is a rush transcript of "Fox News Sunday" on December 5, 2021. This copy may not be in its final form and may be updated. President Biden and Russia's Vladimir Putin will hold a superpower phone JOE BIDEN, PRESIDENT OF THE UNITED STATES: I don't accept anybody's red We'll discuss the standoff with Senate Armed Services Committee member Joni Just how much of a threat is China? We'll talk about how to keep law and order in space with the vice chief of So, we need to be ready. U.S. faces around the world.

Biden commonly incoherent and confused. Former Vice President Joe Biden acted inappropriately when a news anchor recently asked whether he should or has taken a cognitive abilities test, Sean Hannity said in his opening monologue Wednesday. "Let's state some facts," the "Hannity" host began. "Biden loses his trend of thought often. He mixes up numbers often. He struggles to remember certain words. At times, he doesn't even know what day of the week it is, what state he is in, and what office he is even running for. "He's experiencing frequent bouts of irritability, anger, confusion," Hannity went on. "I'm not a doctor, I don't know what's going on with Biden, but it's obvious that something is off, very off.