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CellStrat > Research/Blog > Industry > Healthcare > Pharma
30
Oct
Artificial Intelligence in Public Health

Public healthcare is being discussed today, more than ever ! With the COVID pandemic, we have encountered for the first time a disease that affects everyone, irrespective of their age, gender, socioeconomic status or lifestyle. Consequently, a public health problem i.e., COVID is now the highest priority for everyone, not just healthcare and healthcare related […]

Posted in: COVID-19, Infectious Diseases, Pharma,
27
Aug
Working with Giant Graphs

#CellStratAILab #disrupt4.0 #WeCreateAISuperstars #WhereLearningNeverStops Recently, our AI Lab Researcher Gouthaman Asokan presented an excellent session on Giant Graphs, wherein we use specialized Graph Neural Networks to process and mine massive graphs – such as social networks or paper citation graphs. Examples of Real Life Giant Graphs Giant graphs has usually millions or billions of nodes […]

Posted in: Graph Neural Networks, Healthcare, Pharma, Publishing,
Tags: Bigraph, control variate sampling, giant graphs, graph neural networks, graph theory, GraphSage, knowledge graph, Knowledge Graphs, neighbor sampling, Node Flow, PubMed, Receptive Field, reddit dataset, SageNet, social network, social networks,
13
Aug
Generative Models for Graphs

#CellStratAILab #disrupt4.0 #WeCreateAISuperstars Recently, our AI Lab Researcher Gouthaman Asokan presented an amazing session on Generative Models for Graphs. This is part of our webinar series on Graphs and Graph Neural Networks. Graph is a nonlinear data structure consisting of nodes and edges. Widely used in applications like Physical system interactions, Knowledge graphs, Molecular interactions, Transportation […]

Posted in: Generative Modeling, Graph Neural Networks, Pharma,
Tags: bernoulli distribution, categorical distribution, deep generative model for graph, DGMG, generative model, generative modelling, GrammarVAE, graph embedding, graph grammar, graph neural network, graph propagation, molecular generation, Simplified Molecular Input Line Entry System, SMILES, synthentic graph, synthetic graph, teacher forcing,
28
May
Introduction to Graph Neural Networks

#CellStratAILab #disrupt4.0 #WeCreateAISuperstars #WhereLearningNeverStops Recently, our AI Researcher Gouthaman Asokan presented a superb session on introduction to Graph Neural Networks (GNNs). Structured vs Unstructured Data :- Images and text are structured data. Convolutional Networks, Recurrent Neural Networks, Autoencoders work well on the structured data as they can be converted to the matrix or vector like format. […]

Posted in: Graph Neural Networks, Pharma,
Tags: DiGraphs, Drug Interactions, GCN, GNNs, Graph Convolutional Network, graph neural networks, GraphNet, Graphs, Knowledge Graphs, Multigraph, node classification, social network analysis, unstructured data,