Search Results for author: Neslihan Bulut

Found 3 papers, 2 papers with code

UGSL: A Unified Framework for Benchmarking Graph Structure Learning

1 code implementation21 Aug 2023 Bahare Fatemi, Sami Abu-El-Haija, Anton Tsitsulin, Mehran Kazemi, Dustin Zelle, Neslihan Bulut, Jonathan Halcrow, Bryan Perozzi

We implement a wide range of existing models in our framework and conduct extensive analyses of the effectiveness of different components in the framework.

Benchmarking Graph structure learning

Leveraging Organizational Resources to Adapt Models to New Data Modalities

no code implementations23 Aug 2020 Sahaana Suri, Raghuveer Chanda, Neslihan Bulut, Pradyumna Narayana, Yemao Zeng, Peter Bailis, Sugato Basu, Girija Narlikar, Christopher Re, Abishek Sethi

As applications in large organizations evolve, the machine learning (ML) models that power them must adapt the same predictive tasks to newly arising data modalities (e. g., a new video content launch in a social media application requires existing text or image models to extend to video).

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