Forwarded from Bioinformatics
🎬 Inferring Biological Networks
💥 from Claudia Solis-Lemus, Wisconsin Institutes for Discovery, UW-Madison
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📲Channel: @Bioinformatics
#video #network
💥 from Claudia Solis-Lemus, Wisconsin Institutes for Discovery, UW-Madison
🎞 Watch
📲Channel: @Bioinformatics
#video #network
YouTube
Claudia Solis-Lemus: Inferring Biological Networks
UW-Madison, Wisconsin Evolution, Evolution Seminar Series
https://evolution.wisc.edu/seminars/seminars-info/
https://evolution.wisc.edu
Claudia Solis-Lemus, Assistant Professor, Department of Plant Pathology and Wisconsin Institutes for Discovery, UW-Madison…
https://evolution.wisc.edu/seminars/seminars-info/
https://evolution.wisc.edu
Claudia Solis-Lemus, Assistant Professor, Department of Plant Pathology and Wisconsin Institutes for Discovery, UW-Madison…
🎞 Graph Neural Networks
💥presented by Giannis Nikolentzos at the 2024 HIAS AI Summer School
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #GNN
💥presented by Giannis Nikolentzos at the 2024 HIAS AI Summer School
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #GNN
YouTube
2024 HIAS AI Summer School - Graph Neural Networks - Giannis Nikolentzos
2024 HIAS AI Summer School Day 1
Graph Neural Networks
Giannis Nikolentzos, University of Patras
Graph Neural Networks
Giannis Nikolentzos, University of Patras
🎞 Machine Learning with Graphs: design space of graph neural networks
💥Free recorded course by Prof. Jure Leskovec
💥 This part discussed the important topic of GNN architecture design. Here, we introduce 3 key aspects in GNN design: (1) a general GNN design space, which includes intra-layer design, inter-layer design and learning configurations; (2) a GNN task space with similarity metrics so that we can characterize different GNN tasks and, therefore, transfer the best GNN models across tasks; (3) an effective GNN evaluation technique so that we can convincingly evaluate any GNN design question, such as “Is BatchNorm generally useful for GNNs?”. Overall, we provide the first systematic investigation of general guidelines for GNN design, understandings of GNN tasks, and how to transfer the best GNN designs across tasks. We release GraphGym as an easy-to-use code platform for GNN architectural design. More information can be found in the paper: Design Space for Graph Neural Networks
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #course #Graph #GNN #Machine_Learning
💥Free recorded course by Prof. Jure Leskovec
💥 This part discussed the important topic of GNN architecture design. Here, we introduce 3 key aspects in GNN design: (1) a general GNN design space, which includes intra-layer design, inter-layer design and learning configurations; (2) a GNN task space with similarity metrics so that we can characterize different GNN tasks and, therefore, transfer the best GNN models across tasks; (3) an effective GNN evaluation technique so that we can convincingly evaluate any GNN design question, such as “Is BatchNorm generally useful for GNNs?”. Overall, we provide the first systematic investigation of general guidelines for GNN design, understandings of GNN tasks, and how to transfer the best GNN designs across tasks. We release GraphGym as an easy-to-use code platform for GNN architectural design. More information can be found in the paper: Design Space for Graph Neural Networks
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #course #Graph #GNN #Machine_Learning
arXiv.org
Design Space for Graph Neural Networks
The rapid evolution of Graph Neural Networks (GNNs) has led to a growing number of new architectures as well as novel applications. However, current research focuses on proposing and evaluating...
🎥 Knowledge graphs - Foundations and applications
🎞 Watch the collection
⚡️Channel: @ComplexNetworkAnalysis
#video #knowledge_graph
🎞 Watch the collection
⚡️Channel: @ComplexNetworkAnalysis
#video #knowledge_graph
🎞 Node centrality metric and link analysis
💥Social Network Analysis Lecture 3
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📱Channel: @ComplexNetworkAnalysis
#video #Node #centerality #link
💥Social Network Analysis Lecture 3
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #Node #centerality #link
YouTube
Social Network Analysis Lecture 3. Node centrality metric and link analysis.
🎞 Machine Learning with Graphs: GraphSAGE Neighbor Sampling
💥Free recorded course by Prof. Jure Leskovec
💥 This part discussed Neighbor Sampling, That is a representative method used to scale up GNNs to large graphs. The key insight is that a K-layer GNN generates a node embedding by using only the nodes from the K-hop neighborhood around that node. Therefore, to generate embeddings of nodes in the mini-batch, only the K-hop neighborhood nodes and their features are needed to load onto a GPU, a tractable operation even if the original graph is large. To further reduce the computational cost, only a subset of neighboring nodes is sampled for GNNs to aggregate.
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📲Channel: @ComplexNetworkAnalysis
#video #course #Graph #GNN #Machine_Learning #GraphSAGE
💥Free recorded course by Prof. Jure Leskovec
💥 This part discussed Neighbor Sampling, That is a representative method used to scale up GNNs to large graphs. The key insight is that a K-layer GNN generates a node embedding by using only the nodes from the K-hop neighborhood around that node. Therefore, to generate embeddings of nodes in the mini-batch, only the K-hop neighborhood nodes and their features are needed to load onto a GPU, a tractable operation even if the original graph is large. To further reduce the computational cost, only a subset of neighboring nodes is sampled for GNNs to aggregate.
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #course #Graph #GNN #Machine_Learning #GraphSAGE
YouTube
Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 17.2 - GraphSAGE Neighbor Sampling
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3Brn5kW
Lecture 17.2 - GraphSAGE Neighbor Sampling Scaling up GNNs
Jure Leskovec
Computer Science, PhD
Neighbor Sampling is a representative…
Lecture 17.2 - GraphSAGE Neighbor Sampling Scaling up GNNs
Jure Leskovec
Computer Science, PhD
Neighbor Sampling is a representative…
🎞 Introduction to Social Network Analysis
💥This session is part of the ESRC Centre for Society and Mental Health's Research Methods Primer and Provocation series.
💥In this session, Dr Molly Copeland and Holly Crudgington provide an introduction to social network analysis (SNA) with a focus on major theories and conceptual approaches to using ego-centric and sociometric network data for those new to considering networks.
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📱Channel: @ComplexNetworkAnalysis
#video
💥This session is part of the ESRC Centre for Society and Mental Health's Research Methods Primer and Provocation series.
💥In this session, Dr Molly Copeland and Holly Crudgington provide an introduction to social network analysis (SNA) with a focus on major theories and conceptual approaches to using ego-centric and sociometric network data for those new to considering networks.
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video
YouTube
Introduction to Social Network Analysis
This session is part of the ESRC Centre for Society and Mental Health's Research Methods Primer and Provocation series.
In this session, Dr Molly Copeland and Holly Crudgington provide an introduction to social network analysis (SNA) with a focus on major…
In this session, Dr Molly Copeland and Holly Crudgington provide an introduction to social network analysis (SNA) with a focus on major…
📹Network Analysis with Gephi
💥 From University of Galway Library
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⚡️Channel: @ComplexNetworkAnalysis
#video #gephi
💥 From University of Galway Library
🎞 Watch
⚡️Channel: @ComplexNetworkAnalysis
#video #gephi
YouTube
Network Analysis with Gephi 🟣 Digital Tools for Research 🟣 25 March 2025
Delivered by Oksana Dereza from the University of Galway Library / Data Science Institute as a part of the "Digital Tools for Research" workshop series on 25 March 2025. #DigitalResearch #OpenResearch
***
Check out other workshops and events by the University…
***
Check out other workshops and events by the University…
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📹How to Build a Knowledge Graph
🎞 Watch
⚡️Channel: @ComplexNetworkAnalysis
#video #knowledge_graph #neo4j
🎞 Watch
⚡️Channel: @ComplexNetworkAnalysis
#video #knowledge_graph #neo4j
YouTube
Neo4j Live: How to Build a Knowledge Graph
Do you think building a knowledge graph is too complex? Think again. Join us when we look at the new eBook "The Developer’s Guide: How to Build a Knowledge Graph" and learn how to model, query and grow your graph step by step.
We’ll bust a few myths, walk…
We’ll bust a few myths, walk…
Forwarded from Bioinformatics
YouTube
Metabolic Networks
A metabolic network in a biological cell system represents the complex web of biochemical reactions through which cells convert nutrients into energy and essential biomolecules. These networks, composed of enzymes, metabolites, and pathways, are categorized…
🎥 Graph Classification: Step-by-step in action
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⚡️Channel: @ComplexNetworkAnalysis
#video #classification #graph
🎞 Watch
⚡️Channel: @ComplexNetworkAnalysis
#video #classification #graph
YouTube
04 - Graph Classification | step-by-step
0:00 Data preparation
8:50 GNN with GCN
22:00 GNN with SageConv
In this video, we’ll be exploring the implementation of graph classification models using SAGEConv and GCN.
We'll be working with the GIN dataset, which includes 1113 graphs spread across 2…
8:50 GNN with GCN
22:00 GNN with SageConv
In this video, we’ll be exploring the implementation of graph classification models using SAGEConv and GCN.
We'll be working with the GIN dataset, which includes 1113 graphs spread across 2…
📹 Mastering Network Analysis with igraph
🎞 Watch
⚡️Channel: @ComplexNetworkAnalysis
#video #python #igraph
🎞 Watch
⚡️Channel: @ComplexNetworkAnalysis
#video #python #igraph
YouTube
Mastering Network Analysis with igraph | Full Tutorial + Hands-On | Network Science | IIT Bhilai
In this comprehensive video, we dive deep into igraph, one of the most powerful open-source libraries for network analysis and visualization.
This is a full-fledged tutorial created as part of the Network Science course at IIT Bhilai (2025). We cover both…
This is a full-fledged tutorial created as part of the Network Science course at IIT Bhilai (2025). We cover both…
📹 Network Analysis in Systems Biology
💥From Avi Ma'ayan, Professor at Icahn School of Medicine at Mount Sinai, New York, NY
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⚡️Channel: @ComplexNetworkAnalysis
#video #network_analysis #biology
💥From Avi Ma'ayan, Professor at Icahn School of Medicine at Mount Sinai, New York, NY
🎞 Watch
⚡️Channel: @ComplexNetworkAnalysis
#video #network_analysis #biology
YouTube
Network Analysis in Systems Biology
Network Analysis in Systems Biology
Hall of the Mountain King de Kevin MacLeod tiene una licencia Atribución 4.0 de Creative Commons. https://creativecommons.org/licenses/by/4.0/
Hall of the Mountain King de Kevin MacLeod tiene una licencia Atribución 4.0 de Creative Commons. https://creativecommons.org/licenses/by/4.0/
🎥 How to Build a Knowledge Graph
🎞 Watch
📦 Code
⚡️Channel: @ComplexNetworkAnalysis
#video #knowledge_graph
🎞 Watch
📦 Code
⚡️Channel: @ComplexNetworkAnalysis
#video #knowledge_graph
YouTube
How to Build a Knowledge Graph [Ft. Graphiti]
Workshop from @FalkorDB and ZEP (Graphiti): Building Production Knowledge Graphs from Structured/Unstructured Data Sources.
👩💻 Google Collab for the demo: https://colab.research.google.com/drive/1HbDPKlsz9tYfRGeWHn60vsWeGhFIsqyF?usp=sharing
This workshop…
👩💻 Google Collab for the demo: https://colab.research.google.com/drive/1HbDPKlsz9tYfRGeWHn60vsWeGhFIsqyF?usp=sharing
This workshop…
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