Ioannis Koutis

4 papers · 2016–2024 · 3 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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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Gold 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird

Venues

NeurIPS (2) AISTATS (1) ICML (1)

Top co-authors

Reihaneh Rabbany (1) Sanjay Chawla (1) Jacob Danovitch (1) Guillaume Rabusseau (1) Heiner Stuckenschmidt (1) Richard Peng (1) Shenyang Huang (1) Michal Valko (1) Erfan Loghmani (1) Alessandro Lazaric (1)

Research topics

Machine Learning (4) Core Methods (4) Mathematics & Optimization (2) Mathematics (2) Optimization & Theory (2) Artificial Intelligence (1) Computer Science (1) Data Science & Analytics (1) Application Areas (1) Applications (1) Core AI (1) Foundations (1) Learning Types (1) Optimization (1)

Keywords

spectral method (2) graph laplacian (2) spectral clustering (1) graph theory (1) graph learning (1) graph representation (1) constrained clustering (1) clustering algorithm (1) spectral sparsification (1) temporal knowledge graph (1) heterogeneous graph (1) graph partition (1) ridge regularization (1) eigenvalue problem (1) harmonic function (1) graph conductance (1) link prediction (1) graph eigenvalue (1) semi-supervised learning (1)

Papers

TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs NeurIPS 2024 Spectral Modification of Graphs for Improved Spectral Clustering NeurIPS 2019 Improved large-scale graph learning through ridge spectral sparsification ICML 2018 Simple and Scalable Constrained Clustering: a Generalized Spectral Method AISTATS 2016