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

Interpretation in research methodology involves drawing inferences from collected data, establishing continuity in research, and developing explanatory concepts for future studies. It helps researchers understand abstract principles, make predictions, and maintain research continuity. Interpretation

2 views • 5 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

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

ERCOT's Potential Uplift Interpretation Protocol defines Potential Uplift as the potential uplift to the Counter-Party based on short payments. The protocol outlines calculations and clarifies language ambiguity to ensure accurate interpretation. ERCOT seeks market feedback for further clarification

0 views • 6 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

Interpretation in research involves drawing inferences from collected facts to find broader meanings of findings. Techniques such as generalization, concept formulation, and consulting experts help ensure correct interpretation. Writing research reports is a crucial component, requiring logical anal

0 views • 25 slides

Explore the intricacies of statutory interpretation, linguistic and non-linguistic methods, and types of interpretation in legal contexts. Uncover the significance of legal reasoning, historical perspectives, and comparisons between Anglo-Saxon and Continental legal cultures. Delve into the complexi

0 views • 17 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

This interactive content provides a detailed exploration of enzyme activity through data interpretation and graph analysis. Questions range from identifying the impact of enzymes on specific molecules to determining optimal conditions for various enzyme functions such as pH and temperature. Users de

0 views • 16 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

Understanding interpretation in cultural sociology through hermeneutics and structuralism is explored in Lecture III by Dr. Werner Binder at Masaryk University. The lecture delves into the art of interpretation, focusing on classical hermeneutics, Friedrich Schleiermacher's romantic hermeneutics, an

1 views • 37 slides

Explore the concept of statutory interpretation, including the intention of Parliament, problems that can arise, various rules and approaches used in interpretation, aids and presumptions, criticisms, and the relationship between statutory interpretation, EU law, and precedent. The Literal Rule, a c

2 views • 26 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

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

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

Delve into the world of discrete mathematics with a focus on graph theory. Learn about graphs, their properties, and essential theorems. Discover how graphs model relations in various applications like network routing, GPS guidance, and chemical reaction simulations. Explore graph terminology, theor

0 views • 26 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

This portfolio revision focuses on providing detailed descriptions and analysis of individual sensors for data collection and interpretation. It includes information on instrument specifications, data measurement setups, ancillary data, data processing steps, results interpretation, and cautionary n

0 views • 5 slides

Graphviz is a versatile tool used to create visual representations of graphs by describing them in the DOT language. The process involves writing a text file with the graph description, using Graphviz to generate the graph picture, and then viewing or processing the output. It provides a detailed in

0 views • 10 slides

This research delves into the cutting-edge topic of query-driven on-the-fly knowledge base construction, focusing on acquiring facts for a vast array of predicates and capturing billions of facts about entities in the world. Motivated by the limitations of existing knowledge bases, the study explore

0 views • 49 slides

Explore the concepts of cliques and independent sets in graph theory through C++ programming with Cynthia Bailey Lee's Creative Commons licensed materials. Understand NP-complete graph problems and learn about coding implementations for determining cliques and independent sets efficiently.

0 views • 24 slides