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#Graph Embeddings

Showing: 16 courses
University of Central Florida

Discriminative Prototype Selection for Graph Embedding

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Explore graph embedding techniques, focusing on discriminative prototype selection methods for improved graph representation and matching in various applications.
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22 Lesons
54 minutes
On-Demand
Free-Video

Bite-Sized Neo4j for Data Scientists

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Learn Neo4j for data science: connect to databases, use Python drivers, write Cypher queries, import data, perform graph analytics, and compare with SQL databases.
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23 Lesons
2 hours 30 minutes
On-Demand
Free-Video
CIMPA UCR

Genus de Grafos de Pancakes y Pancakes Quemados: Cotas Superiores e Inferiores

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Explora cotas superiores e inferiores para el genus de grafos de pancakes y sus aplicaciones en bioinformática y computación paralela, utilizando sistemas de rotaciones y técnicas de permutación.
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1 Lesons
55 minutes
On-Demand
Free-Video
Databricks

Building a Knowledge Graph with Spark and NLP for Novel Drug Recommendations

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Explore drug discovery using knowledge graphs, NLP, and Spark. Learn techniques for efficient data processing, entity recognition, and relationship extraction to enhance pharmaceutical research.
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28 Lesons
41 minutes
On-Demand
Free-Video
Open Data Science

Graph Embeddings - Ways Your AI Can Learn From Your Connected Data - Nicolas Rouyer

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Explore five ways AI can leverage graph embeddings to extract insights from connected data, enhancing machine learning algorithms and unlocking hidden patterns in complex relationships.
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7 Lesons
29 minutes
On-Demand
Free-Video
Applied Algebraic Topology Network

Topological Node2vec: Improving Graph Embeddings with Persistent Homology

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Exploring persistent homology to enhance graph embeddings, combining topology with machine learning for improved data analysis and representation in complex networks.
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1 Lesons
46 minutes
On-Demand
Free-Video
Aleksa Gordić - The AI Epiphany

Graph Convolutional Networks - GNN Paper Explained

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Comprehensive exploration of Graph Convolutional Networks, covering theory, implementation, and applications. Delves into spectral methods, Weisfeiler-Lehman perspective, and GNN depth, offering insights for both beginners and experts.
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13 Lesons
50 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Task-Driven Network Discovery via Deep Reinforcement Learning on Embedded Spaces

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Explore task-driven network discovery using deep reinforcement learning on embedded spaces. Learn about improving network observability and optimizing data collection for accurate analysis.
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23 Lesons
28 minutes
On-Demand
Free-Video
Linux Foundation

Angel 3.0 - A Full Stack Machine Learning Platform

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Explore Angel 3.0, a comprehensive machine learning platform featuring auto feature engineering, hyperparameter tuning, model serving, and PyTorch integration for enhanced graph embedding and GNN algorithms.
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12 Lesons
41 minutes
On-Demand
Free-Video
IEEE

Inapproximability of Clustering in Lp Metrics

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Explores computational complexity of clustering in Lp metrics, discussing approximation algorithms, hardness of approximation, and key concepts like Johnson Coverage Hypothesis.
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17 Lesons
21 minutes
On-Demand
Free-Video
Mervin Praison

GraphRAG: The Most Incredible RAG Strategy Revealed

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Explore GraphRAG, an advanced retrieval-augmented generation system enhancing AI responses with relevant context. Learn implementation, setup, and advantages over traditional methods.
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8 Lesons
11 minutes
On-Demand
Free-Video
Devoxx

Leveraging Graphs for AI

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Explore graph theory's role in AI, from data structures to machine learning, with practical examples and applications in analytics, algorithms, and neural networks.
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30 Lesons
57 minutes
On-Demand
Free-Video
Data Science Festival

The Power of Knowledge Graphs and AI - A New Era for Developers and Data Scientists

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Explore Knowledge Graphs and AI: Learn technical aspects, real-world applications, and future trends. Discover how to leverage these technologies for data harmonization and inference.
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1 Lesons
41 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Saga: Continuous Construction and Serving of Large Scale Knowledge Graphs

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Explore continuous construction and serving of large-scale knowledge graphs with Saga, an end-to-end platform. Learn about challenges in industrial settings and various graph services.
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1 Lesons
36 minutes
On-Demand
Free-Video
BIMSA

Geometric Deep Graph Learning: Exploring Opportunities in Different Geometric Spaces

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Explore geometric deep graph learning in non-Euclidean spaces. Discover properties of hyperbolic and hyperspherical spaces for enhanced graph representation and analysis across various applications.
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1 Lesons
1 hour
On-Demand
Free-Video
Association for Computing Machinery (ACM)

DeepWalk: Online Learning of Social Representations

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Explore online learning of social representations with DeepWalk, a groundbreaking approach to understanding social networks and graph structures.
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1 Lesons
1 hour 3 minutes
On-Demand
Free-Video