--- title: Best Graph Theory posts of 2024 | daily.dev description: The most upvoted Graph Theory posts of 2024, curated by the daily.dev community. canonical: https://daily.dev/tags/graph-theory/best-of/2024 twitter:card: summary_large_image twitter:site: @dailydotdev og:url: https://daily.dev/tags/graph-theory/best-of/2024 og:type: website og:site_name: daily.dev og:title: Best Graph Theory posts of 2024 | daily.dev og:description: The most upvoted Graph Theory posts of 2024, curated by the daily.dev community. og:image: https://media.daily.dev/image/upload/s--VAY5ToZt--/f_auto/v1724209435/public/daily.dev%20-%20open%20graph --- # Best of Graph Theory — 2024 1. 1 [](/posts/a-crash-course-on-graph-neural-networks-apztoi3gv "A Crash Course on Graph Neural Networks") Article Daily Dose of Data Science | Avi Chawla | Substack · 2y A Crash Course on Graph Neural Networks Graph Neural Networks (GNNs) extend deep learning techniques to graph data, addressing the limitations of traditional models in capturing complex relationships. This piece covers the basics, benefits, tasks, data challenges, frameworks, and practical implementation of GNNs. 75 2. 2 [](/posts/rag-x-graph-rag-noe0pcp2v "RAG X: Graph RAG") Article GoPenAI · 2y RAG X: Graph RAG GraphRAG is a Retrieval-Augmented Generation system that uses graph-based knowledge representation to enhance the accuracy, context awareness, and explainability of responses to complex queries. It constructs a knowledge graph from input documents, utilizes graph traversal algorithms and language learning models (LLMs), and offers visualizations of information connections. This approach preserves context, enables intelligent information traversal, and provides visual explanations, making it especially effective for handling complex and long documents. 32 3. 3 [](/posts/graphs-representation-u6u6bbwv9 "Graphs representation") Article The Polymathic Engineer · 2y Graphs representation Graphs are versatile data structures used to model relationships in various domains, like social networks, maps, and the web. They consist of nodes (vertices) connected by edges, and can be classified into types such as undirected, directed, weighted, and unweighted. The primary modes of representing graphs in memory include adjacency matrices, adjacency lists, and edge lists, each with distinct advantages and trade-offs. Understanding these representations and their applications is crucial for optimizing graph-related operations in programming. 18 1 4. 4 [](/posts/everyone-gets-bidirectional-bfs-wrong-mscrkmffs "Everyone gets bidirectional BFS wrong") Article Lobsters · 2y Everyone gets bidirectional BFS wrong The post explains common mistakes found in bidirectional BFS implementations and highlights how widely available online resources often have errors. The author describes the basics of graphs and pathfinding algorithms, and illustrates proper and improper uses of bidirectional BFS with interactive examples. Significant improvements are noted by using the correct algorithm, and the practical outcomes of verifying algorithm implementations are emphasized. 10 1 5. 5 [](/posts/this-is-how-the-bfs-breadth-first-search-algorithm-works-iufcz98rr "This is how the BFS (breadth first search) algorithm works") Video Web Dev Cody · 2y This is how the BFS (breadth first search) algorithm works This post explains the breadth-first search (BFS) algorithm using a zombie pathfinding scenario in a game. It covers the conceptual approach of BFS with a diagram and describes how to represent the grid as a graph with nodes and edges. The author details the traversal process, including the use of a queue to manage nodes and an array to track seen nodes, and emphasizes the importance of maintaining the order of node visits to avoid infinite loops. The post concludes with a brief mention of other graph traversal algorithms and invites readers to explore the open-source code. 11 [See all Graph Theory archives](/tags/graph-theory/best-of) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@graph":[{"@type":"CollectionPage","@id":"https://daily.dev/tags/graph-theory/best-of/2024#page","url":"https://daily.dev/tags/graph-theory/best-of/2024","name":"Best Graph Theory Posts of 2024","description":"The most upvoted Graph Theory posts of 2024, curated by the daily.dev community.","isPartOf":{"@type":"WebSite","url":"https://daily.dev"}},{"@type":"ItemList","@id":"https://daily.dev/tags/graph-theory/best-of/2024#items","numberOfItems":5,"itemListElement":[{"@type":"ListItem","position":1,"url":"https://daily.dev/posts/a-crash-course-on-graph-neural-networks-apztoi3gv","name":"A Crash Course on Graph Neural Networks"},{"@type":"ListItem","position":2,"url":"https://daily.dev/posts/rag-x-graph-rag-noe0pcp2v","name":"RAG X: Graph RAG"},{"@type":"ListItem","position":3,"url":"https://daily.dev/posts/graphs-representation-u6u6bbwv9","name":"Graphs representation"},{"@type":"ListItem","position":4,"url":"https://daily.dev/posts/everyone-gets-bidirectional-bfs-wrong-mscrkmffs","name":"Everyone gets bidirectional BFS wrong"},{"@type":"ListItem","position":5,"url":"https://daily.dev/posts/this-is-how-the-bfs-breadth-first-search-algorithm-works-iufcz98rr","name":"This is how the BFS (breadth first search) algorithm works"}]},{"@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Tags","item":"https://daily.dev/tags"},{"@type":"ListItem","position":3,"name":"Graph Theory","item":"https://daily.dev/tags/graph-theory"},{"@type":"ListItem","position":4,"name":"Best of","item":"https://daily.dev/tags/graph-theory/best-of"},{"@type":"ListItem","position":5,"name":"2024"}]}]} ```