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

3 views • 87 slides

Delve into the world of dependent pattern matching with a focus on coverage semantics. Dive deep into the concepts of denotational semantics, topologies, and coverages. Explore the interplay between patterns, values, and types in a novel way, shedding light on the essence of pattern matching.

4 views • 26 slides

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

3 views • 19 slides

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

2 views • 48 slides

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

0 views • 20 slides

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

1 views • 75 slides

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

3 views • 37 slides

Near-Optimal Quantum Algorithms for String Problems by Ce Jin and Shyan Akmal presents groundbreaking research on string problem solutions using quantum algorithms. The study delves into various key topics such as Combinatorial Pattern Matching, Basic String Problems, Quantum Black-box Model, and mo

0 views • 25 slides

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.

0 views • 84 slides

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

1 views • 12 slides

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

1 views • 12 slides

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

0 views • 38 slides

Uncover the power of Microsoft Graph through accessing files, extending Microsoft 365 experiences, and utilizing the gateway to Microsoft Cloud data. Learn about authentication options and how to interact with the Microsoft Graph Direct REST API.

1 views • 37 slides

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

0 views • 13 slides

Freebase was launched in 2005 as an open database of knowledge, initially populated with Wikipedia data and later incorporating crowdsourced updates. Acquired by Google in 2010, it was transitioned into Google's Knowledge Graph before being decommissioned in 2016. The schema contained around 1500 ty

4 views • 12 slides

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.

0 views • 17 slides

Learn how to identify different graph shapes such as symmetric, skewed, and uniform, and understand descriptors like unimodal and bimodal. Explore practical examples and visual aids to enhance your graph interpretation skills.

0 views • 19 slides

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

2 views • 18 slides

Investigating natural language interfaces for querying structured MOF data stored in a knowledge graph, this project focuses on developing strategies using NLP to translate NL questions to KG queries. The MOF-KG integrates datasets, enabling query, computation, and reasoning for deriving new knowled

0 views • 13 slides

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

1 views • 19 slides

The content discusses the concepts of graph connectivity and single element recovery using linear and OR queries. It delves into the strategies, algorithms, and tradeoffs involved in determining unknown vectors, edges incident to vertices, and spanning forests in graphs. The talk contrasts determini

0 views • 28 slides

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

0 views • 55 slides

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

0 views • 14 slides

This class introduces the fundamentals of distributed graph algorithms focusing on network modeling, complexity measures, solving graph problems, and comparing distributed vs. centralized algorithms. It covers topics such as the LOCAL model, synchronous rounds, communication rounds, computation time

0 views • 17 slides

The State Design Pattern is a Behavioral pattern similar to Strategy, allowing objects to change behavior based on internal state changes. This pattern involves defining different states and their implementations to control object behavior dynamically. Real-life examples like managing mood states an

0 views • 14 slides

Delve into the fascinating world of graph colorings, chromatic polynomials, and notable conjectures in discrete geometry. Explore the impact of June Huh in bringing Hodge theory to combinatorics and his proof of various mathematical conjectures. Uncover the significance of the four-color theorem, co

0 views • 17 slides

This research introduces a groundbreaking distributed memory multi-GPU graph coloring implementation, achieving significant speedups and minimal color increase. The approach enables efficient coloring of large-scale graphs with billions of vertices and edges. Additionally, the study explores the pra

0 views • 22 slides

Explore a comprehensive roadmap for maximizing matching gift opportunities provided by Double the Donation. This presentation covers important steps such as determining donor information, evaluating revenue, and setting timelines for success. Learn how to identify responsible departments and individ

0 views • 10 slides

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

0 views • 15 slides

The content discusses the concept of maximal independent sets in graph theory. It defines independent, maximal, and maximum sets, highlighting the difficulty in finding a maximum independent set due to its NP-hard nature. Sequential and parallel algorithms for finding maximal independent sets are pr

0 views • 12 slides

Delve into the world of graphs with a focus on visualizations for networks and building up graph representations in Java. Explore different graph representations, adjacency lists, and key-value mappings, along with insights on storing and tracking data efficiently using Java data structures. Dive in

0 views • 12 slides

Pattern making in fashion design involves three main methods: drafting, draping, and flat paper pattern making. Drafting consists of taking measurements and marking construction lines on paper to create patterns, while draping involves shaping fabric around a form to visualize the garment's design e

0 views • 13 slides

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

0 views • 17 slides

Enhance your writing skills by learning the seven basic sentence patterns. Recognizing sentence patterns helps improve your ability to construct sentences effectively and understand grammar functions. Explore different patterns, such as the Be Pattern with adverbials and subject complements, Linking

0 views • 27 slides

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

0 views • 41 slides

Façade design pattern simplifies the interface of a complex system by providing a unified and straightforward interface for clients to access the system's functionalities. It helps in isolating the clients from the complexities of underlying components, offering a more user-friendly experience. The

0 views • 48 slides

Today's lecture covers the Template Method design pattern in software design, focusing on defining the pattern, its structure, and providing an example with Tea and Coffee recipes. The pattern allows subclasses to redefine certain algorithm steps without changing the overall structure, promoting cod

0 views • 40 slides

Victor Zigdon presents the SPC Algorithm, a simpler and more efficient approach to pattern matching in compressed web traffic. By applying an accelerating idea on pattern matching algorithms, the SPC Algorithm skips bytes and achieves throughput improvements. The background includes information on G

0 views • 21 slides

Discusses new pattern matching algorithms for network security applications, focusing on intrusion detection systems (IDS) and the use of signatures and regular expressions to detect malicious patterns in network traffic. Explores the ideal and reality of pattern matching, time-space tradeoffs, and

0 views • 57 slides

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

0 views • 19 slides