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2020 – today
- 2024
[i7]Andrea Coletta, Kshama Dwarakanath, Penghang Liu, Svitlana Vyetrenko, Tucker Balch:
LLM-driven Imitation of Subrational Behavior : Illusion or Reality? CoRR abs/2402.08755 (2024)- 2023
- [j1]Penghang Liu
, Valerio Guarrasi, Ahmet Erdem Sariyüce:
Temporal Network Motifs: Models, Limitations, Evaluation. IEEE Trans. Knowl. Data Eng. 35(1): 945-957 (2023) - [c4]Penghang Liu, Ahmet Erdem Sariyüce:
Using Motif Transitions for Temporal Graph Generation. KDD 2023: 1501-1511 - [i6]Penghang Liu, Rupam Acharyya, Robert E. Tillman, Shunya Kimura, Naoki Masuda, Ahmet Erdem Sariyüce:
Temporal Motifs for Financial Networks: A Study on Mercari, JPMC, and Venmo Platforms. CoRR abs/2301.07791 (2023) - [i5]Penghang Liu, Ahmet Erdem Sariyüce:
Using Motif Transitions for Temporal Graph Generation. CoRR abs/2306.11190 (2023) - 2022
- [c3]Penghang Liu, Valerio Guarrasi, Ahmet Erdem Sariyüce:
Temporal Network Motifs: Models, Limitations, Evaluation (Extended abstract). ICDE 2022: 1531-1532 - [i4]Penghang Liu, Kshama Dwarakanath, Svitlana S. Vyetrenko:
Biased or Limited: Modeling Sub-Rational Human Investors in Financial Markets. CoRR abs/2210.08569 (2022) - 2021
- [i3]Penghang Liu, Naoki Masuda, Tomomi Kito, Ahmet Erdem Sariyüce:
Temporal Motifs in Patent Opposition and Collaboration Networks. CoRR abs/2110.11198 (2021) - 2020
- [c2]Penghang Liu, Ahmet Erdem Sariyüce:
Characterizing and Utilizing the Interplay Between Core and Truss Decompositions. IEEE BigData 2020: 957-962 - [i2]Penghang Liu, Valerio Guarrasi, Ahmet Erdem Sariyüce:
Temporal Network Motifs: Models, Limitations, Evaluation. CoRR abs/2005.11817 (2020) - [i1]Penghang Liu, Ahmet Erdem Sariyüce:
Characterizing and Utilizing the Interplay Between Core and Truss Decompositions. CoRR abs/2011.00749 (2020)
2010 – 2019
- 2017
- [c1]Pierpaolo Di Carlo, Jeff Good, Ling Bian, Yujia Pan, Penghang Liu:
Socio-spatial Networks, Multilingualism, and Language Use in a Rural African Context. COSIT (Workshops/Posters) 2017: 35-39
Coauthor Index
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