Abstract: Time series are the primary data type used to record dynamic system measurements and generated in great volume by both physical sensors and online processes (virtual sensors). Time series ...
Abstract: Knowledge graph embedding (KGE) aims at learning powerful representations to benefit various artificial intelligence applications. Meanwhile, contrastive learning has been widely leveraged ...
We provide some Jupyter Notebooks in ./jupyter_notebooks, and their corresponding online Google Colaboratory Notebooks. You can run them for a quick start. For the unconditional generation with ...
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Graph Neural Networks (GNNs) and GraphRAG don’t “reason”—they navigate complex, open-world financial graphs with traceable, multi-hop evidence. Here’s why BFSI leaders should embrace graph-native AI ...
As part of its FW25 collection, Japanese label Graphpaper has put a pared-back spin on a retro PUMA model. Joining Takayuki Minami’s assortment of sleek tailoring, workwear silhouettes, and bold ...
How can we make every node in a graph its own intelligent agent—capable of personalized reasoning, adaptive retrieval, and autonomous decision-making? This is the core question explored by a group ...
Robots are increasingly being developed for home environments, specifically to enable them to perform daily activities like cooking. These tasks involve a combination of visual interpretation, ...
Over the years, Graphpaper has solidified itself as the master of overt minimalism. Now, to celebrate a decade of its Aoyama store location, the brand has tapped Parisian-based label CASEY CASEY for a ...
The Center for Energy Regulation and Policy Analysis (CERPA) in the School of Energy Resources (SER) has released a new white paper exploring Certified Natural Gas in Wyoming. Authored by Senior ...
Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...
A professionally curated list of awesome resources (paper, code, data, etc.) on Deep Graph Anomaly Detection (DGAD), which is the first work to comprehensively and systematically summarize the recent ...
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