Abstract: Motivated by the prevalent data science applications of processing large-scale graph data such as social networks and biological networks, this paper investigates lossless compression of ...

Abstract: In this paper, we advance graph classification to handle multi-graph learning for complicated objects, where each object is represented as a bag of graphs and the label is only available to ...

This action will output question_decompose_datasets containing user_queries (sub-queries of complex question) field in preprocess_datasets/ folder. This action will output ...

The Indian Institute of Technology (IIT) Guwahati has announced the Graduate Aptitude Test in Engineering (GATE) 2026 two-paper combination list. Candidates appearing for two papers must choose from ...

This article contains affiliate links. We may earn a small commission on items purchased through this article, but that does not affect our editorial judgement. Heading off to uni this autumn? We ...

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, ...

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models: Deep learning models developed for surrogating the hydraulic one: contains a base class with common inputs and functions and one for the SWE-GNN and mSWE-GNN models. results: Contains results ...

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In the recent study “GraphGPT: Graph Instruction Tuning for Large Language Models,” researchers have addressed a pressing issue in the field of natural language processing, particularly in the context ...