Keshav Balasubramanian

3 papers · 2021–2022 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird

Venues

AAAI (1) ICLR (1) NAACL (1)

Top co-authors

Murali Annavaram (2) Mehrnoosh Mirtaheri (2) Greg Ver Steeg (2) Aram Galstyan (2) Elan Markowitz (1) Salman Avestimehr (1) Chaoyang He (1) Sami Abu-El-Haija (1) Emir Ceyani (1) Elan Sopher Markowitz (1)

Research topics

Deep Learning (3) Machine Learning (3) Architectures (3) Artificial Intelligence (2) Core Methods (2) Learning Paradigms · Artificial Intelligence (2) Learning Paradigms · Machine Learning (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Optimization & Theory (1)

Keywords

graph neural network (2) multi-task learning (1) scalable learning (1) graph representation learning (1) message passing (1) graph embedding (1) node embedding (1) language model (1) non-iid data (1) molecular property prediction (1) message passing neural network (1) knowledge graph completion (1) decentralized learning (1) inductive learning (1) decentralized training (1) entity representation (1) non-iid distribution (1) federated learning (1) stochastic graph traversal (1)

Papers

SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data AAAI 2022 StATIK: Structure and Text for Inductive Knowledge Graph Completion NAACL 2022 Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning ICLR 2021