Graph Machine Learning Overview: Traditional ML to Graph Neural Networks
Explore the evolution of Machine Learning in Graphs, from traditional ML tasks to advanced Graph Neural Networks (GNNs). Discover key concepts like feature engineering, tools like PyG, and types of ML tasks in graphs. Uncover insights into node-level, graph-level, and community-level predictions, an
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Localised Adaptive Spatial-Temporal Graph Neural Network
This paper introduces the Localised Adaptive Spatial-Temporal Graph Neural Network model, focusing on the importance of spatial-temporal data modeling in graph structures. The challenges of balancing spatial and temporal dependencies for accurate inference are addressed, along with the use of distri
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Graph Neural Networks
Graph Neural Networks (GNNs) are a versatile form of neural networks that encompass various network architectures like NNs, CNNs, and RNNs, as well as unsupervised learning models such as RBM and DBNs. They find applications in diverse fields such as object detection, machine translation, and drug d
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Understanding Neo4j Graph Database Fundamentals
This comprehensive presentation delves into the fundamentals of Neo4j graph database, covering topics such as the definition of graph databases, reasons for their usage, insights into Neo4j and Cypher, practical applications like data flow analysis, and hands-on instructions on creating and querying
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Understanding Breadth-First Search (BFS) Algorithm for Graph Searching
This content delves into the Breadth-First Search (BFS) algorithm, a fundamental graph searching technique. It explains the step-by-step process of BFS, from initializing the graph to traversing vertices in a specific order. Through detailed visual representations, you will gain insights into how BF
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Exploring Graph-Based Data Science: Opportunities, Challenges, and Techniques
Graph-based data science offers a powerful approach to analyzing data by leveraging graph structures. This involves using graph representation, analysis algorithms, ML/AI techniques, kernels, embeddings, and neural networks. Real-world examples show the utility of data graphs in various domains like
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Understanding Logarithmic Function Transformations
Explore transformations of logarithmic functions through examples involving vertical and horizontal stretches, translations, and reflections. Understand how to sketch the graphs of logarithmic functions and determine missing coordinates on the graphs. Additionally, learn about transformations such a
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Understanding 3D Transformations in Computer Graphics
Transformation plays a crucial role in computer graphics, enabling movement and manipulation of objects in a Cartesian plane. This comprehensive guide covers types of transformations, reasons for using them, and details on 3D translation, rotation, scaling, reflection, and shearing. Explore the sign
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Understanding Linear Transformations and Matrices in Mathematics
Linear transformations play a crucial role in the study of vector spaces and matrices. They involve mapping vectors from one space to another while maintaining certain properties. This summary covers the introduction to linear transformations, the kernel and range of a transformation, matrices for l
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Understanding Graph Theory: Friendship Theorem and Freshman's Dream
Explore the intriguing concepts of the Friendship Theorem and Freshman's Dream in graph theory along with examples and visual illustrations. Learn about common friends, relationships between vertices and edges, and what defines a graph in a concise yet comprehensive manner.
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2D Geometric Transformations for Computer Graphics
In this lecture on 2D Geometric Transformations, Assistant Professor Dr. Samsun M. BA ARICI covers topics such as translation, rotation, scaling, homogeneous representations, and coordinates. The lecture delves into basic transformations like reflection and shearing, as well as practical application
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Introduction to Graph Theory Matchings
Graph Theory Matchings have a rich history dating back to the 9th century AD. Distinct Representatives and Hall's Theorem play important roles in determining matchings in graphs. Understanding concepts like bipartite graphs, maximum matchings, and Hall's Marriage Theorem is essential in graph theory
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Understanding 2D Viewing Transformations and Windowing Concepts
Exploring two-dimensional transformations, homogeneous coordinate systems, matrix formulation, and concatenation of transformations. Concepts like windowing, window-to-viewport transformation, viewing transformation, and the 2D viewing pipeline are discussed with relevant images and explanations.
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Evolution of Freebase and the Google Knowledge Graph
Freebase was initially created in 2005 as an open shared database of knowledge, later acquired by Google and absorbed into the Google Knowledge Graph. Its approach included crowdsourcing updates and additions, focusing on data rather than text. The schema of Freebase included around 1500 types, 3500
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Combining Graph Algorithms with Data Structures and Algorithms in CSE 373 by Kasey Champion
In this lecture, Kasey Champion covers a wide range of topics including graph algorithms, data structures, coding projects, and important midterm topics for CSE 373. The lecture emphasizes understanding ADTs, data structures, asymptotic analysis, sorting algorithms, memory management, P vs. NP, heap
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Exploring Deep Graph Theory: Philosophical Implications and Misconceptions
Delve into the realm of Deep Graph Theory where graph theory statements are analyzed beyond their conventional scope to uncover philosophical insights and correct misunderstandings. Discover the essence of trees, forests, and the unique relationship where every tree is regarded as a forest. Addition
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Understanding Graph Theory Fundamentals
Delve into the basics of graph theory with topics like graph embeddings, graph plotting, Kuratowski's theorem, planar graphs, Euler characteristic, trees, and more. Explore the principles behind graphs, their properties, and key theorems that define their structure and connectivity.
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Understanding Transformations in Coordinate Plane
Learn about transformations in a coordinate plane, including translations, rotations, reflections, and dilations. Discover methods to perform translations and understand how to determine the new prime points. Explore examples and step-by-step instructions to master the concept of transformations.
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Association Rules with Graph Patterns: Exploring Relationships in Data
Dive into the world of association rules with graph patterns, where relationships and connections are analyzed through nodes and edges. Discover how to define association rules, identify customers, and uncover interesting patterns using graph-based techniques. Explore traditional and graph-pattern a
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Solving the Professors to Coffee Lounge Problem: A Graph Theory Approach
An intriguing mathematical problem is presented where new faculty members at TIMS must be assigned to coffee lounge alcoves in a way that ensures no two new members meet after the first day. By constructing a graph based on meet-up timings, analyzing clashes, and determining intervals, this scenario
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Exploring the Impact of Randomness on Planted 3-Coloring Models
In this study by Uriel Feige and Roee David from the Weizmann Institute, the effect of randomness on planted 3-coloring models is investigated. The research delves into the NP-hard nature of 3-coloring problems, introducing a hosted coloring framework that involves choices like the host graph and th
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Managing Large Graphs on Multi-Cores with Graph Awareness
This research discusses the challenges in managing large graphs on multi-core systems and introduces Grace, an in-memory graph management and processing system with optimizations for graph-specific and multi-core-specific operations. The system keeps the entire graph in memory in smaller parts and p
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Maria's Bike Journey Graph Analysis
Maria's bike journey graph depicts her distance from home as she rode to meet friends and run errands before returning home. The graph shows her stops for errands, changes in direction, and her path back home. By interpreting the key features of the graph, such as intercepts and intervals, we can an
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Balanced Graph Edge Partition and Its Practical Applications
Balanced graph edge partitioning is a crucial problem in graph computation, machine learning, and graph databases. It involves partitioning a graph's vertices or edges into balanced components while minimizing cut costs. This process is essential for various real-world applications such as iterative
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Accuracy-Aware Program Transformations for Energy-Efficient Computing
Explore the concept of accuracy-aware program transformations led by Sasa Misailovic and collaborators at MIT CSAIL. The research focuses on trading accuracy for energy and performance, harnessing approximate computing, and applying automated transformations in program optimization. Discover how to
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Understanding Spanning Trees and Minimum Spanning Trees
Explore the concept of spanning trees and minimum spanning trees in graph theory through an in-depth lecture outline covering topics like Cut Property, Cycle Property, Kruskal's Algorithm, and more. Delve into the significance of Minimum Spanning Trees (MSTs) as the lowest-cost spanning tree of a gr
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Innovations and Transformations in Condensed Matter Physics
Accelerating mainstream developments in condensed matter physics involves inducing electronic states and phases through strong external influences like electric or optical impacts. Notable successes include superconductivity manipulation and laser-induced transformations, with significant contributi
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Rely-Guarantee-Based Simulation for Concurrent Program Transformations
Explore a rely-guarantee-based simulation approach for verifying concurrent program transformations, including compilers for concurrent programs, fine-grained implementations, and software transactional memory. Learn about defining correctness, compositionality, and verification aspects in the conte
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Graph Pattern Matching Challenges and Solutions
Graph pattern matching in social networks presents challenges such as costly queries, excessive results, and query focus issues. The complexity of top-k and diversified pattern matching problems requires heuristic algorithms for efficient solutions. Finding best candidates for project roles involves
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Understanding Small Set Expansion in Johnson Graphs
In this detailed piece, Subhash Khot, Dor Minzer, Dana Moshkovitz, and Muli Safra explore the fascinating concept of Small Set Expansion in Johnson Graphs. The Johnson Graph is defined as a representation where nodes are sets of size K in a universe of size N, and two sets are connected if they inte
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Vertex-Centric Programming for Graph Neural Networks
Seastar presents a vertex-centric programming approach for Graph Neural Networks, showcasing better performance in graph analytic tasks compared to traditional methods. The research introduces the SEAStar computation pattern and discusses GNN programming abstractions, execution, and limitations. Dee
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Graph Property Testing and Algorithms Overview
Explore testable bounded degree graph properties, sparse graphs, d-bounded degree graphs, hyperfinite graphs, arboricity, maximum matching algorithms, and sublinear time approximation algorithms in graph data streams. Learn about various graph models and properties with examples, showcasing the impo
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Understanding Graph Modeling and DFS Applications
Explore the world of graph modeling and DFS applications through lectures on graph vocabulary, edge classification in directed graphs, and the use of DFS to find cycles. Discover the significance of tree edges, back edges, forward edges, and cross edges in graph traversal. Learn how DFS can be utili
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Graph-Based Knowledge Representation in Modelling: A Comprehensive Overview
This content delves into graph-based knowledge representation in modelling, detailing concepts such as recipe-ingredient relationships, formalisms for generalizing graph representation, and conceptual graphs by John F. Sowa. It explores how different interpretations describe the association between
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Input Elimination Transformations for Scalable Verification and Trace Reconstruction
This work introduces new input elimination techniques for scalable model checking in industrial applications, focusing on trace reconstruction. The transformations aim to make the netlist more tractable for solving, involving various algorithms such as retiming, phase abstraction, and bitwidth reduc
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Understanding Graph Databases and Neo4j
Graph databases offer a flexible way to manage data by representing relationships between nodes. Neo4j is a popular graph database system that uses Cypher for querying. This guide provides insights into graph database concepts, advantages, and getting started with Neo4j, including creating nodes and
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Extensions of Hamiltonian Formalism in Classical Mechanics and Mathematical Methods
Lecture 9 on the extensions of Hamiltonian formalism covers topics such as the Virial theorem, canonical transformations, and the Hamilton-Jacobi formalism. It delves into proofs and examples related to the Virial theorem, including applications to the harmonic oscillator and circular orbits in grav
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Solving Train Track Problems Using Interval Graphs and Graph Coloring
Presented by Manvitha Nellore, this content addresses real-world train track problems in busy cities by proposing solutions through interval graphs and graph theory. The approach involves allotting tracks to trains by scheduling with time intervals to avoid conflicts. An interval graph is defined, a
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Data Processing and Analysis for Graph-Based Algorithms
This content delves into the preprocessing, computing, post-processing, and analysis of raw XML data for graph-based algorithms. It covers topics such as data ETL, graph analytics, PageRank computation, and identifying top users. Various tools and frameworks like GraphX, Spark, Giraph, and GraphLab
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Understanding Graph Algorithms for Connectivity and Shortest Paths
Graph algorithms play a crucial role in solving problems represented as networks, maps, paths, plans, and resource flow. This content delves into ways to find connectivity in graphs and algorithms for determining shortest paths. It discusses graph representations using adjacency matrices and lists,
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