Location Recommendations for New Businesses Using Check-in Data. - Bahaeddin Eravci; Neslihan Bulut; Çagri Etemoglu; Hakan Ferhatosmanoglu (ICDM Workshops, 2016)

Leveraging Organizational Resources to Adapt Models to New Data Modalities. - Sahaana Suri; Abishek Sethi; Girija Narlikar; Neslihan Bulut; Raghuveer Chanda; Sugato Basu; Pradyumna Narayana; Peter Bailis; Christopher Ré; Yemao Zeng (Proc. VLDB Endow., 2020)

TF-GNN: Graph Neural Networks in TensorFlow. - Oleksandr Ferludin; Arno Eigenwillig; Martin Blais; Dustin Zelle; Jan Pfeifer; Alvaro Sanchez-Gonzalez; Wai Lok Sibon Li; Sami Abu-El-Haija; Peter W. Battaglia; Neslihan Bulut; Jonathan Halcrow; Filipe Miguel Gonçalves de Almeida; et al. (CoRR, 2022)

SubMix: Learning to Mix Graph Sampling Heuristics. - Sami Abu-El-Haija; Joshua V. Dillon; Bahare Fatemi; Kyriakos Axiotis; Neslihan Bulut; Johannes Gasteiger; Bryan Perozzi; MohammadHossein Bateni (UAI, 2023)

UGSL: A Unified Framework for Benchmarking Graph Structure Learning. - Bahare Fatemi; Sami Abu-El-Haija; Anton Tsitsulin; Seyed Mehran Kazemi; Dustin Zelle; Neslihan Bulut; Jonathan Halcrow; Bryan Perozzi (CoRR, 2023)

Exploring the Benefits and Drawbacks of AR and VR Technologies for Learners of Mathematics: Recent Developments. - Mustafa Cevikbas; Neslihan Bulut; Gabriele Kaiser (Syst., 2023)

General Geospatial Inference with a Population Dynamics Foundation Model. - Mohit Agarwal; Mimi Sun; Chaitanya Kamath; Arbaaz Muslim; Prithul Sarker; Joydeep Paul; Hector Yee; Marcin Sieniek; Kim Philipp Jablonski; Yael Mayer; David Fork; Sheila de Guia; et al. (CoRR, 2024)

Less is More: Adaptive Coverage for Synthetic Training Data. - Sasan Tavakkol; Max Springer; Mohammad Hossein Bateni 001; Neslihan Bulut; Vincent Cohen-Addad; MohammadTaghi Hajiaghayi (CoRR, 2025)