Kian Ahrabian

According to our database, Kian Ahrabian authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Surprising Resilience of Science During a Global Pandemic: A Large-Scale Descriptive Analysis.

Kian Ahrabian, Casandra Rusti, Ziao Wang, Jay Pujara, Kristina Lerman

CoRR, 2024

The Hitchhiker's Guide to Human Alignment with *PO.

Kian Ahrabian, Xihui Lin, Barun Patra, Vishrav Chaudhary, Alon Benhaim, Jay Pujara, Xia Song

CoRR, 2024

MARVEL: Multidimensional Abstraction and Reasoning through Visual Evaluation and Learning.

Yifan Jiang, Jiarui Zhang, Kexuan Sun, Zhivar Sourati, Kian Ahrabian, Kaixin Ma, Filip Ilievski, Jay Pujara

CoRR, 2024

The Curious Case of Nonverbal Abstract Reasoning with Multi-Modal Large Language Models.

Kian Ahrabian, Zhivar Sourati, Kexuan Sun, Jiarui Zhang, Yifan Jiang, Fred Morstatter, Jay Pujara

CoRR, 2024

On the Adaptation of Unlimiformer for Decoder-Only Transformers.

Kian Ahrabian, Alon Benhaim, Barun Patra, Jay Pujara, Saksham Singhal, Xia Song

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

PubGraph: A Large Scale Scientific Temporal Knowledge Graph.

Kian Ahrabian, Xinwei Du, Richard Delwin Myloth, Arun Baalaaji Sankar Ananthan, Jay Pujara

CoRR, 2023

Comparison of Knowledge Graph Representations for Consumer Scenarios.

Ana Iglesias-Molina, Kian Ahrabian, Filip Ilievski, Jay Pujara, Óscar Corcho

Proceedings of the Semantic Web - ISWC 2023, 2023

Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning.

Dong-Ho Lee, Kian Ahrabian, Woojeong Jin, Fred Morstatter, Jay Pujara

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Is Dynamicity All You Need?

Richard Delwin Myloth, Kian Ahrabian, Arun Baalaaji Sankar Ananthan, Xinwei Du, Jay Pujara

Proceedings of the Workshop on Scientific Document Understanding co-located with 37th AAAI Conference on Artificial Inteligence (AAAI 2023), 2023

Citation Intent Classification Through Weakly Supervised Knowledge Graphs.

Xinwei Du, Kian Ahrabian, Arun Baalaaji Sankar Ananthan, Richard Delwin Myloth, Jay Pujara

Proceedings of the Workshop on Scientific Document Understanding co-located with 37th AAAI Conference on Artificial Inteligence (AAAI 2023), 2023

2021

Structure Aware Experience Replay for Incremental Learning in Graph-based Recommender Systems.

Kian Ahrabian, Yishi Xu, Yingxue Zhang, Jiapeng Wu, Yuening Wang, Mark Coates

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Software Engineering Event Modeling using Relative Time in Temporal Knowledge Graphs.

Kian Ahrabian, Daniel Tarlow, Hehuimin Cheng, Jin L. C. Guo

CoRR, 2020

Structure Aware Negative Sampling in Knowledge Graphs.

Kian Ahrabian, Aarash Feizi, Yasmin Salehi, William L. Hamilton, Avishek Joey Bose

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Usage of autoencoders and Siamese networks for online handwritten signature verification.

Kian Ahrabian, Bagher BabaAli

Neural Comput. Appl., 2019