Slides
The lab started since 2023 and anyting older than that is from the work by Sadamori Kojaku.
Keynote & Invited Talks
2026
- Keynote Speaker, CompleNet 2026, Zaragoza, Spain, May 4-8, 2026
2026
- “つながりを微分する —— ベクトル表現が捉える、連続体としてのネットワーク”, Modeling Higher-Order Structures in Complex Networks and Elucidating Influence Propagation and Robustness Between Remote Nodes. Research Project (PI: Yasuko Yamano), 2026 [Slides]
2024
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“Machine learns simplicity in complexity”, Complex Systems Research Exchange, July 2, 2024 [Slides]
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“Neural embeddings unveil simplicity in complex systems”, American Physical Society March Meeting, Minneapolis, MN, USA, March 4-8, 2024
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“Unsupervised Embedding of Trajectories Captures the Latent Structure of Scientific Migration”, CCSS Workshop on Computational Social Science, Center for Computational Social Science, Kobe University, Kobe, Japan, December 26, 2024 [Slides]
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“Unsupervised embedding of trajectories captures the latent structure of scientific migration”, CoCo Seminar, Center for Collective Dynamics of Complex Systems, Binghamton University, Binghamton, NY, USA (Hybrid), January 24, 2024 [Slides]
2022
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“Distilling rich but crude scholarly data using representation learning”, IUNI Lunch Colloquium, Indiana University, USA, October 28, 2022
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“Residual2Vec: Debiasing graph embedding with random graphs”, Network Inequality, NetSci 2022, Shanghai, China, July 21, 2022 [Slides]
2021
- “The effectiveness of backward contact tracing in networks”, The State University of New York at Buffalo, Buffalo, USA, June 4, 2021 [Slides]
2019
- “Algorithms for detecting network cores and their applications”, Network Science Seminar, Institute of Statistical Mathematics, Japan, August 28-30, 2019
Oral Presentations
2025
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“Implicit degree bias in the link prediction task” (Rachith Aiyappa, Xin Wang, Munjung Kim, Ozgur Can Seckin, Jisung Yoon, Yong-Yeol Ahn, Sadamori Kojaku) — NetSci, Maastricht, Netherlands, June 2025
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“Implicit degree bias in the link prediction task” (Rachith Aiyappa, Xin Wang, Munjung Kim, Ozgur Can Seckin, Jisung Yoon, Yong-Yeol Ahn, Sadamori Kojaku) — CompleNet, Brazil, April 2025 [Slides]
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“Near-linear time algorithm for the configuration models for networks” (Xuanchi Li, Xin Wang, Sadamori Kojaku) — NetSci, Maastricht, Netherlands, June 2025 [Slides]
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“Near-linear time algorithm for the configuration models for networks” (Xuanchi Li, Xin Wang, Sadamori Kojaku) — CompleNet, Casa José de Alencar, Brazil, April 2025
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“Network community detection via neural embeddings” (Sadamori Kojaku, Filippo Radicchi, Yong-Yeol Ahn, Santo Fortunato) — CompleNet, Casa José de Alencar, Brazil, April 2025 [Slides]
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“On the high-order cumulative advantage in citation and collaboration networks in science” (Yoshiaki Fujita, Akshay Gangadhar, Sadamori Kojaku) — NetSci, Maastricht, Netherlands, June 2025
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“On the high-order cumulative advantage in citation and collaboration networks in science” (Yoshiaki Fujita, Akshay Gangadhar, Sadamori Kojaku) — NERCCS, April 2025
2024
- “Uncovering the universal dynamics of citation systems: From science of science to law of law and patterns of patents” (Sadamori Kojaku, Robert Mahari, Sandro Lera, Esteban Moro, Alex Pentland, Yong-Yeol Ahn) — NERCCS, Clarkson, NY, USA, March 20-22, 2024
2023
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“Network community detection via neural embeddings” (Sadamori Kojaku, Filippo Radicchi, Yong-Yeol Ahn, Santo Fortunato) — NetSci, Vienna, Austria, July 12-14, 2023 [Slides]
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“Uncovering the universal dynamics of citation systems: From science of science to law of law and patterns of patents” (Sadamori Kojaku, Robert Mahari, Sandro Lera, Esteban Moro, Alex Pentland, Yong-Yeol Ahn) — ICSSI, Chicago, IL, USA, June 26-29, 2023
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“Uncovering the universal dynamics of citation systems: From science of science to law of law and patterns of patents” (Sadamori Kojaku, Robert Mahari, Sandro Lera, Esteban Moro, Alex Pentland, Yong-Yeol Ahn) — NetSci, Vienna, Austria, July 12-14, 2023
2022
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“DisamBERT: author name disambiguation with BERT” (Sadamori Kojaku, Xiaoran Yan, Jisung Yoon, Filipi N. Silva, Vincent Lariviere, Yong-Yeol Ahn) — ICSSI, Washington D.C., USA, June 6-9, 2022 [Slides]
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“Mapping Scientific Foraging” (Sadamori Kojaku, Clara Boothby, Filipi Nascimento Silva, Attila Varga, Xiaoran Yan, Staša Milojević, Alessandro Flammini, Filippo Menczer, Yong-Yeol Ahn) — ICSSI, Washington D.C., USA, June 6-9, 2022 [Slides]
2021
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“Residual2Vec: A null model approach for graph embedding” (Sadamori Kojaku, Jisung Yoon, Yong-Yeol Ahn) — NetSci, Virtual, July 5-10, 2021 [Slides]
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“Residual2Vec: Debiasing graph embedding with random graphs” (Sadamori Kojaku, Jisung Yoon, Isabel Constantino, Yong-Yeol Ahn) — NeurIPS, Virtual, 2021 [Slides]
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“The effectiveness of backward contact tracing in networks” (Sadamori Kojaku, Laurent Hébert-Dufresne, Enys Mones, Sune Lehmann, Yong-Yeol Ahn) — NetSci, Virtual, July 5-10, 2021
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“Unsupervised embedding of trajectories captures the latent structure of mobility” (Dakota Murray, Jisung Yoon, Sadamori Kojaku, Rodrigo Costas, Woo-Sung Jung, Staša Milojević, Yong-Yeol Ahn) — NetSci, Virtual, July 5-10, 2021 [Slides]
2020
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“Detecting citation cartels in journal networks” (Sadamori Kojaku, Giacomo Livan, Naoki Masuda) — NetSci, Rome, Italy, September 17-25, 2020 [Slides]
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“The landscape of the COVID-19 research: A neural embedding approach” (Sadamori Kojaku, Attila Varga, Xiaoran Yan, Filipi N. Silva, Staša Milojević, Alessandro Flammini, Yong-Yeol Ahn) — NetSci, Rome, Italy, September 17-25, 2020
2019
- “Structural changes in the interbank market across the financial crisis from multiple core-periphery analysis” (Sadamori Kojaku, Giulio Cimini, Guido Caldarelli, Naoki Masuda) — NetSci, Vermont, U.S., May 26-31, 2019
2018
- “Core-periphery structure in degree-heterogeneous networks” (Sadamori Kojaku, Naoki Masuda) — NetSci-X, Hangzhou, China, 2018
2016
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“Fast random k-labelsets for large-scale multi-label classification” (Keigo Kimura, Mineichi Kudo, Lu Sun, Sadamori Kojaku) — 23rd International Conference on Pattern Recognition, Cancun, Mexico, December 4-8, 2016
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“Finding multiple core-periphery structure with random walks” (Sadamori Kojaku, Naoki Masuda) — 5th International Workshop on Complex Networks and their Applications, Milan, Italy, November 30-December 2, 2016 (Best Contribution on Financial Networks Award)
Poster Presentations
2025
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“Implicit degree bias in the link prediction task” (Rachith Aiyappa, Xin Wang, Munjung Kim, Ozgur Can Seckin, Jisung Yoon, Yong-Yeol Ahn, Sadamori Kojaku) — ICML, Vancouver, Canada, July 21-27, 2025 [PDF]
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“On the high-order cumulative advantage in citation and collaboration networks in science” (Yoshiaki Fujita, Akshay Gangadhar, Sadamori Kojaku) — NetSci, Maastricht, Netherlands, June 2025
![[PDF]](https://github.com/skojaku/degree-corrected-link-prediction-benchmark/blob/main/figs/poster.png){kind=link}
2024
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“Analyzing Patient Reviews on Google Map Hospital Profiles through Neural Embedding and Network Modeling” (Xin Wang, Sadamori Kojaku) — NERCCS, Clarkson, NY, USA, March 20-22, 2024
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“Self-Supervised Modularity Maximization using graph embeddings for clustering” (Govind Gandhi, Yong-Yeol Ahn, Sadamori Kojaku) — NetSci, Quebec, Canada, June 16-21, 2024
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“User Trust Modeling in Conversational User Interface Based on Word Embedding Bias” (Xin Wang, Sadamori Kojaku) — The ACM Conference on Conversational User Interfaces, July 8-10, 2024
2023
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“A biased contrastive learning debiases graph neural networks” (Ashutosh Tiwari, Sadamori Kojaku, Yong-Yeol Ahn) — NetSci, Vienna, Austria, July 12-14, 2023
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“Quantifying disruptiveness using a neural embedding method” (Munjung Kim, Sadamori Kojaku, Yong-Yeol Ahn) — ICSSI, Chicago, IL, USA, June 26-29, 2023
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“Understanding the landscape of COVID-19 research by using neural embedding” (Sadamori Kojaku, Clara Boothby, Filipi Nascimento Silva, Attila Varga, Xiaoran Yan, Staša Milojević, Alessandro Flammini, Filippo Menczer, Yong-Yeol Ahn) — ICSSI, Chicago, IL, USA, June 26-29, 2023
2019
- “Constructing networks from correlation matrices: An application to economical data” (Sadamori Kojaku, Naoki Masuda) — Threshold Networks, Nottingham, UK, July 22-24, 2019
2018
- “A generalised significance test for individual communities in networks” (Sadamori Kojaku, Naoki Masuda) — NetSci, Paris, France, June 11-15, 2018
2017
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“An extension of modularity for finding multiple core/periphery structure in networks” (Sadamori Kojaku, Naoki Masuda) — NetSci-X, Tel Aviv, Israel, January 15-18, 2017
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“Core-periphery structure of networks: Consideration for random heterogeneous networks” (Sadamori Kojaku, Naoki Masuda) — NetSci, Indianapolis, Indiana, USA, 2017
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“Multi-scale organisation of core-periphery structure in networks” (Sadamori Kojaku, Naoki Masuda) — 1st Latin American Conference on Complex Networks, Puebla, Mexico, September 25-29, 2017
Teaching Materials
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SSIE 641: Advanced Topics in Network Science (Fall 2023, 2024, 2025) — Binghamton University [Materials]
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SSIE 419/519: Applied Soft Computing (Spring 2024, 2025) — Binghamton University [Materials]
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BL-INFO-I590: Data Visualization (Fall 2023) — Indiana University
Request Slides
Can’t find the slides you’re looking for? Email skojaku@binghamton.edu. We’re happy to share slides and speaking notes for educational and research purposes.