Abstract: Existing message passing-based and transformer-based graph neural networks (GNNs) cannot satisfy requirements for learning representative graph embeddings due to restricted receptive fields, ...

Abstract: Existing multilayer graph clustering models focus on integrating the monolithic structure of each layer, but the local preference between layers and clusters has not been fully exploited. To ...

Add the repository and a compile dependency for microsoft-graph to your project's build.gradle: An instance of the GraphServiceClient class handles building requests, sending them to the Microsoft ...

Recent years have witnessed an increasing number of applications involving objects with structural relationships, including chemical compounds in Bioinformatics, brain networks, image structures, and ...

Recently, a research team from the Rudolf Technology Center in Slovenia proposed a new method to optimize the sparse subgraph problem, which has wide applications in fields such as network analysis ...

The answer is yes. our favorites are the ones that come to us. and say, Oh my God, you're my favorite. and then they start ...

PFRDA Grade A Exam 2025 held on 6. Complete Paper 1 review with section-wise insights on Quantitative Aptitude, Reasoning, ...

BY JOHN PAWLAKWhite RockAt the grocery store, the total for my purchases came to an even $60. The cashier looked at the ...

The SBI Clerk Prelims 2025 will be held on 20, 21 & 27 2025. Check out this 12-day revision plan with subject-wise strategies ...

A growing number of AI processors are being designed around specific workloads rather than standardized benchmarks, ...

TL;DR: Treat outputs as a set; formulate group inference as a Quadratic Integer Programming (QIP) problem; scale efficiently with progressive pruning. Abstract: Generative models typically sample ...

By institutionalising muhūrta s within mathematics, the UGC is effectively telling students that astrological determinism is ...