Sai Narayanan

Publication Activity (10 Years)

Years Active: 2020-2022
Publications (10 Years): 8

Top Topics

Graph Representations

Top Venues

ICDM (Workshops)

Publications

Sai Narayanan, Sathyanarayanan N. Aakur, Priyadharsini Ramamurthy, Arunkumar Bagavathi, Vishalini Ramnath, Akhilesh Ramachandran
Scalable Pathogen Detection from Next Generation DNA Sequencing with Deep Learning. CoRR (2022)
Sathyanarayanan N. Aakur, Vineela Indla, Vennela Indla, Sai Narayanan, Arunkumar Bagavathi, Vishalini Laguduva Ramnath, Akhilesh Ramachandran
Metagenome2Vec: Building Contextualized Representations for Scalable Metagenome Analysis. ICDM (Workshops) (2021)
Sathyanarayanan N. Aakur, Sai Narayanan, Vineela Indla, Arunkumar Bagavathi, Vishalini Laguduva Ramnath, Akhilesh Ramachandran
MG-NET: Leveraging Pseudo-imaging for Multi-modal Metagenome Analysis. MICCAI (5) (2021)
Sathyanarayanan N. Aakur, Sai Narayanan, Vineela Indla, Arunkumar Bagavathi, Vishalini Laguduva Ramnath, Akhilesh Ramachandran
MG-NET: Leveraging Pseudo-Imaging for Multi-Modal Metagenome Analysis. CoRR (2021)
Sathyanarayanan N. Aakur, Vineela Indla, Vennela Indla, Sai Narayanan, Arunkumar Bagavathi, Vishalini Laguduva Ramnath, Akhilesh Ramachandran
Metagenome2Vec: Building Contextualized Representations for Scalable Metagenome Analysis. CoRR (2021)
Vineela Indla, Vennela Indla, Sai Narayanan, Akhilesh Ramachandran, Arunkumar Bagavathi, Vishalini Laguduva Ramnath, Sathyanarayanan N. Aakur
Sim2Real for Metagenomes: Accelerating Animal Diagnostics with Adversarial Co-training. PAKDD (1) (2021)
Sai Narayanan, Akhilesh Ramachandran, Sathyanarayanan N. Aakur, Arunkumar Bagavathi
Genome Sequence Classification for Animal Diagnostics with Graph Representations and Deep Neural Networks. CoRR (2020)
Sai Narayanan, Akhilesh Ramachandran, Sathyanarayanan N. Aakur, Arunkumar Bagavathi
GRaDL: A Framework for Animal Genome Sequence Classification with Graph Representations and Deep Learning. ICMLA (2020)