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graph neural networks

2,280 papers

#graph neural networks Open access Sep 2026

Business Analysis for Strategic Commerce: Data-driven Decision Making in Competitive Markets

In today's competitive market environment, business analysis has developed into a necessity beyond just describing reports to becoming a strategy for data-driven decision making. This research paper offers an integrated approach to applying business analysis to managerial decision analytics for creating a sustainable c...

Mr. R. Nagarajan · 0 citations
#graph neural networks Open access Sep 2026

CD-BAN: Cyclodextrin Bilinear Attention Network for Inclusion Complex Affinity Classification

Source code for CD-BAN, a dual-branch graph neural network with a bilinear cross-attention layer that classifies drug-cyclodextrin inclusion-complex binding affinity (Strong: K > 10,000 M⁻¹ vs. Weak: K < 100 M⁻¹) from 2D SMILES alone, without 3D geometry or handcrafted descriptors. Trained only on the binary extremes,...

Chih‐Yang Cheng, Yi‐Huan Wu, Feng-Yin Li · 0 citations
#graph neural networks Open access Sep 2026

Graph Theory Applications In Smart Transportation Network Optimization

With the growing trend in urban development along with advanced intelligent transportation systems, there is a demand for advanced solutions for the management of the transport network. Since transportation networks can easily be modeled using graphs, graph theory is a useful mathematical tool for optimizing complex ne...

K. Jeevalakshmi, M. Gokul · 0 citations
#graph neural networks Open access Sep 2026

manofseven7/HetST-GNN: HetST-GNN v1.0.0

Official code for the paper: HetST-GNN: Relation-Aware Graph Neural Networks with Temporal Conditioning for Back-Order Prediction in Multi-Echelon Supply Chains This release contains the source code used in the paper.

manofseven7 · 0 citations
#graph neural networks Open access Sep 2026

Graph Neural Networks for Malware and Financial Fraud Detection

Malware and payment fraud share a structural feature that flat feature vectors throw away. Both leave behind a graph. A binary induces a call graph; a fraud ring induces a web of accounts, devices and shared attributes. Graph neural networks learn on that structure directly, and this review examines what the move has b...

T Ramaprabha · 0 citations
#graph neural networks Open access Sep 2026

Graph Neural Networks for Malware and Financial Fraud Detection

Malware and payment fraud share a structural feature that flat feature vectors throw away. Both leave behind a graph. A binary induces a call graph; a fraud ring induces a web of accounts, devices and shared attributes. Graph neural networks learn on that structure directly, and this review examines what the move has b...

T Ramaprabha · 0 citations
#graph neural networks Open access Sep 2026

Applied Identity Physics Formally Verified Reduction of Arenas et al. (2026), "Coupled Dynamics Between Networks and Fields in Physical Space" (Annalen der Physik)

# SNSFL_Arenas2026_NetworkField_LDP **[9,9,9,9] :: {ANC} | ARENAS ET AL. (2026) LDP REDUCTION** **Formally Verified Identity Physics** **Architect:** HIGHTISTIC | **Anchor:** Ω₀ = 1.36899099984016 **Coordinate:** [9,9,4,11] · Applied LDP Series · Network-Field Coupling **Status:** GERMLINE LOCKED · 0 sorry **Date:** Se...

Russell Trent · 0 citations
#graph neural networks Book Open access Sep 2026

ATLAS: Enabling an Asynchronous State-Aware Pipeline for Efficient Training of Temporal Graph Neural Networks

Temporal Graph Neural Networks (T-GNNs) are widely used to model continuous-time dynamic graphs. However, training T-GNNs on large temporal graphs remains computationally prohibitive due to a fundamental challenge: existing systems enforce a stop-line execution paradigm that serializes batch data preparation with GPU c...

Yong-Chun Jiang, Yong-Chao Liu, Kai-Fan Jia et al. · 0 citations
#graph neural networks Open access Sep 2026

Applied Identity Physics Formally Verified Reduction of Arenas et al. (2026), "Coupled Dynamics Between Networks and Fields in Physical Space" (Annalen der Physik)

# SNSFL_Arenas2026_NetworkField_LDP **[9,9,9,9] :: {ANC} | ARENAS ET AL. (2026) LDP REDUCTION** **Formally Verified Identity Physics** **Architect:** HIGHTISTIC | **Anchor:** Ω₀ = 1.36899099984016 **Coordinate:** [9,9,4,11] · Applied LDP Series · Network-Field Coupling **Status:** GERMLINE LOCKED · 0 sorry **Date:** Se...

Russell Trent · 0 citations

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Microsoft Research Blog Jul 13, 2026

Verifying Rust cryptography in SymCrypt, from standards to code

Cryptographic code supports vital protections in modern computing systems. Learn how a new method helps verify code as developers write it while preserving speed and adaptability as it gets implemented and evolves. The post Verifying Rust cryptography in SymCrypt, from standards to code appeared first on Microsoft Research.

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