sayzardFeb 2

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.

https://x.com/kfountou/status/2018167966265753638

#gnn #neuralalgorithmicreasoning #graphalgorithms #research

Kimon Fountoulakis (@kfountou) on X

Likely my last paper on GNNs: “Learning to Execute Graph Algorithms Exactly with Graph Neural Networks” It has been a few years since @PetarV_93 popularized the idea of neural algorithmic reasoning, which, focused on GNNs, is essentially about the ability of neural networks to

X (formerly Twitter)
Sebastian ForsterNov 7

This somehow sounds too good to be true: "Attractors Is All You Need: Parity Games In Polynomial Time" (https://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

Attractors Is All You Need: Parity Games In Polynomial Time

This paper provides a polynomial-time algorithm for solving parity games that runs in $\mathcal{O}(n^{2}\cdot(n + m))$ time-ending a search that has taken decades. Unlike previous attractor-based algorithms, the presented algorithm only removes regions with a determined winner. The paper introduces a new type of attractor that can guarantee finding the minimal dominion of a parity game. The attractor runs in polynomial time and can peel the graph empty.

arXiv.org
Hacker NewsAug 24, 2025

Iterative DFS with stack-based graph traversal (2024)

https://dwf.dev/blog/2024/09/23/2024/dfs-iterative-stack-based

#HackerNews #IterativeDFS #StackTraversal #GraphAlgorithms #DepthFirstSearch #2024Trends

Iterative DFS with stack-based graph traversal | Software Engineering Handbook

This post explores how to effectively implement an iterative depth-first search (DFS) traversal on a graph with a stack, addressing a common pitfall along the way.

Saulo Popov ZambiasiApr 29, 2025
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
Saulo Popov ZambiasiApr 29, 2025
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
zartomFeb 20, 2025
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. #PythonAdjacencyMatrix #GraphTheory #NetworkX #DataVisualization #DataScience #GraphAlgorithms
https://tech-champion.com/programming/python-programming/efficiently-creating-and-visualizing-symmetric-adjacency-matrices-in-python/
Kingsley Uyi IdehenSep 28, 2011
Q: Who is Edsger W. Dijkstra?  A: goto: . #LinkedData #SmartData #GraphAlgorithms :
Pushkarprabhat SaxenaNov 2, 2024

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.

#DrugDiscovery #GraphAlgorithms #CardiovascularHealth