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Naganand Yadati

8 papers · 2019–2024 · 6 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+4 more ↓ 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver πŸ—ΊοΈ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird
🧭 Keyword Pioneer ⚑ Prolific Year Β· Productive πŸš€ Conference Pioneer 🌈 Renaissance Researcher (6)

Venues

EACL (2) NeurIPS (2) AAAI (1) AISTATS (1) EMNLP (1) IJCNLP (1)

Top co-authors

Partha Talukdar (4) Shikhar Vashishth (3) Prateek Yadav (2) Madhav Nimishakavi (2) Sanket Shah (1) Vaishnavi S (1) Anand Louis (1) Indira K M (1) Dayanidhi R S (1) Partha Pratim Talukdar (1)

Research topics

Artificial Intelligence (3) Deep Learning (3) Machine Learning (3) Core AI (3) Mathematics & Optimization (2) Natural Language Processing (2) Applications (2) Architectures (2) Core Methods (2) Learning Types (2) Mathematics (2) Computer Science (1) Computer Vision (1) Knowledge & Reasoning (1) Analysis (1)

Keywords

graph neural network (3) knowledge graph (3) graph convolutional network (2) message passing (2) multi-hop reasoning (2) semi-supervised learning (2) multimodal learning (1) short text classification (1) knowledge base (1) document classification (1) recursive reasoning (1) spectral method (1) node classification (1) message passing neural network (1) combinatorial optimisation (1) knowledge base question answering (1) named entity (1) world knowledge (1) orthonormal embedding (1) recursive hypergraph (1)

Papers

GAINER: Graph Machine Learning with Node-specific Radius for Classification of Short Texts and Documents EACL 2024 Knowledge Base Question Answering through Recursive Hypergraphs EACL 2021 Neural Message Passing for Multi-Relational Ordered and Recursive Hypergraphs NeurIPS 2020 Graph-based Deep Learning in Natural Language Processing EMNLP 2019 Graph-based Deep Learning in Natural Language Processing IJCNLP 2019 HyperGCN: A New Method For Training Graph Convolutional Networks on Hypergraphs NeurIPS 2019 KVQA: Knowledge-Aware Visual Question Answering AAAI 2019 Lovasz Convolutional Networks AISTATS 2019