Abdulkadir Çelikkanat

5 papers · 2020–2024 · 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 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird

Venues

AAAI (2) AISTATS (2) NeurIPS (1)

Top co-authors

Nikolaos Nakis (3) Morten Mørup (3) Louis Boucherie (2) Monika Frolcová (1) Christian Djurhuus (1) Thomas D. Nielsen (1) Andrés R. Masegosa (1) Daniel Mathias Holmelund (1) Fragkiskos D. Malliaros (1) Sune Lehmann (1)

Research topics

Machine Learning (5) Core Methods (5) Deep Learning (3) Data Science & Analytics (2) Architectures (2) Mathematics & Optimization (1) Applications (1) Bayesian & Probabilistic (1) Learning Types (1) Methods (1) Optimization & Theory (1) Probability (1) Techniques (1)

Keywords

graph embedding (2) link prediction (2) graph representation learning (2) latent distance model (2) survival analysis (1) stochastic process (1) skip-gram model (1) social network (1) node classification (1) dna sequence (1) scalable model (1) dynamic network (1) network embedding (1) signed network (1) polarization detection (1) skellam distribution (1) citation network (1) dynamic impact (1) single-event network (1) network representation learning (1)

Papers

Continuous-Time Graph Representation with Sequential Survival Process AAAI 2024 Revisiting K-mer Profile for Effective and Scalable Genome Representation Learning NeurIPS 2024 Time to Cite: Modeling Citation Networks using the Dynamic Impact Single-Event Embedding Model AISTATS 2024 Characterizing Polarization in Social Networks using the Signed Relational Latent Distance Model AISTATS 2023 Exponential Family Graph Embeddings AAAI 2020