Kian Ahrabian

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 16

Top Topics

Temporal Knowledge

Relational Information

Graph Representations

Incremental Learning

Top Venues

Publications

Kian Ahrabian, Zhivar Sourati, Kexuan Sun, Jiarui Zhang, Yifan Jiang, Fred Morstatter, Jay Pujara
The Curious Case of Nonverbal Abstract Reasoning with Multi-Modal Large Language Models. CoRR (2024)
Kian Ahrabian, Alon Benhaim, Barun Patra, Jay Pujara, Saksham Singhal, Xia Song
On the Adaptation of Unlimiformer for Decoder-Only Transformers. LREC/COLING (2024)
Yifan Jiang, Jiarui Zhang, Kexuan Sun, Zhivar Sourati, Kian Ahrabian, Kaixin Ma, Filip Ilievski, Jay Pujara
MARVEL: Multidimensional Abstraction and Reasoning through Visual Evaluation and Learning. CoRR (2024)
Kian Ahrabian, Xihui Lin, Barun Patra, Vishrav Chaudhary, Alon Benhaim, Jay Pujara, Xia Song
The Hitchhiker's Guide to Human Alignment with *PO. CoRR (2024)
Dong-Ho Lee, Kian Ahrabian, Woojeong Jin, Fred Morstatter, Jay Pujara
Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning. CoRR (2023)
Xinwei Du, Kian Ahrabian, Arun Baalaaji Sankar Ananthan, Richard Delwin Myloth, Jay Pujara
Citation Intent Classification Through Weakly Supervised Knowledge Graphs. SDU@AAAI (2023)
Richard Delwin Myloth, Kian Ahrabian, Arun Baalaaji Sankar Ananthan, Xinwei Du, Jay Pujara
Is Dynamicity All You Need? SDU@AAAI (2023)
Dong-Ho Lee, Kian Ahrabian, Woojeong Jin, Fred Morstatter, Jay Pujara
Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning. EMNLP (2023)
Kian Ahrabian, Xinwei Du, Richard Delwin Myloth, Arun Baalaaji Sankar Ananthan, Jay Pujara
PubGraph: A Large Scale Scientific Temporal Knowledge Graph. CoRR (2023)
Ana Iglesias-Molina, Kian Ahrabian, Filip Ilievski, Jay Pujara, Óscar Corcho
Comparison of Knowledge Graph Representations for Consumer Scenarios. ISWC (2023)
Kian Ahrabian, Yishi Xu, Yingxue Zhang, Jiapeng Wu, Yuening Wang, Mark Coates
Structure Aware Experience Replay for Incremental Learning in Graph-based Recommender Systems. CIKM (2021)
Kian Ahrabian, Aarash Feizi, Yasmin Salehi, William L. Hamilton, Avishek Joey Bose
Structure Aware Negative Sampling in Knowledge Graphs. CoRR (2020)
Kian Ahrabian, Aarash Feizi, Yasmin Salehi, William L. Hamilton, Avishek Joey Bose
Structure Aware Negative Sampling in Knowledge Graphs. EMNLP (1) (2020)
Kian Ahrabian, Daniel Tarlow, Hehuimin Cheng, Jin L. C. Guo
Software Engineering Event Modeling using Relative Time in Temporal Knowledge Graphs. CoRR (2020)
Kian Ahrabian, Bagher BabaAli
Usage of autoencoders and Siamese networks for online handwritten signature verification. Neural Comput. Appl. 31 (12) (2019)
Kian Ahrabian, Bagher BabaAli
On Usage of Autoencoders and Siamese Networks for Online Handwritten Signature Verification. CoRR (2017)