#GraphAlgorithms

Kimon Fountoulakis (@kfountou)

자신의 마지막 GNN 논문일 수 있다고 밝히며 'Learning to Execute Graph Algorithms Exactly with Graph Neural Networks'를 소개함. @PetarV_93가 대중화한 neural algorithmic reasoning 맥락에서, GNN이 그래프 알고리즘을 정확히 실행할 수 있는지에 대한 연구 주제임을 언급함.

x.com/kfountou/status/20181679

#gnn #neuralalgorithmicreasoning #graphalgorithms #research

Sebastian Forsterforster@mathstodon.xyz
2025-11-07

This somehow sounds too good to be true: "Attractors Is All You Need: Parity Games In Polynomial Time" (arxiv.org/abs/2511.03752)

I had a quick look, but I don't remember the typical strategies of algorithms for parity games anymore. Any opinions?

#GraphAlgorithms #ComplexityTheory

Saulo Popov Zambiasisaulopz@corteximplant.com
2025-04-29

Trying to tame the NP-complete beast — writing a paper about my algorithm for solving the Hamiltonian cycle #graphs #hamiltoncycle #npcomplete #graphalgorithms #computerscience #heuristics #optimization #research #computationalcomplexity #hacking #latex

Dual-monitor desk setup with code and research paper on screen, colorful mechanical keyboard, and a focused work atmosphere.
Saulo Popov Zambiasisaulopz@pixelfed.social
2025-04-29
Trying to tame the NP-complete beast — writing a paper about my algorithm for solving the Hamiltonian cycle #graphs #hamiltoncycle #npcomplete #graphalgorithms #computerscience #heuristics #optimization #research #computationalcomplexity #hacking
2025-02-20

Efficiently Creating and Visualizing Symmetric Adjacency Matrices in Python
Master Python Adjacency Matrix techniques! Learn efficient creation, NetworkX visualization, & handling of large datasets. Represent & analyze complex relationships in your data.
tech-champion.com/programming/

2011-09-28

Q: Who is Edsger W. Dijkstra?  A: goto: . #LinkedData #SmartData #GraphAlgorithms :

Pushkarprabhat Saxenapushkarprabhat
2024-11-02

The Role of Graph Algorithms in Drug Discovery for Cardiovascular Disease

Drug discovery is a time-consuming and costly process, especially for cardiovascular diseases (CVD). Graph algorithms are revolutionizing this space by mapping complex interactions between biological systems and drug compounds. This helps researchers identify promising drug candidates faster, reducing time-to-market and enabling personalized treatment strategies.

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