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  • Network Science

Network Science

Verification and Rectification of Error in Topology of Conserved Networks
Benchmarking and Analysing Unsupervised Network Representation Learning and the Illusion of Progress
Effect of dormant spare capacity on the attack tolerance of complex networks
Controllability of Functional Brain Networks
Discovering adaptation-capable biological network structures using control-theoretic approaches
On Strong Structural Controllability of Temporal Networks
Predicting unknown directed links of conserved networks from flow data
Metric Learning for comparison of HMMs using Graph Neural Networks
Event-Triggered Control Design for Systems With Exogenous Inputs: Application for Auto-Scaling of Cloud-Hosted Web Servers
A Joint Training Framework for Open-World Knowledge Graph Embeddings
Optimizing Driver Nodes for Structural Controllability of Temporal Networks
A priori parameter identifiability in models with non-rational functions
Learning Mesh and Multiple Conserved Networks From Data
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Founded in August 2017, with a vision to become an internationally renowned centre for data science research, where long-standing fundamental research problems, cutting across disciplines, are targeted and solved.

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