Slides
The lab started since 2023 and anyting older than that is from the work by Sadamori Kojaku.
Talks, slides and selected works are also listed on Sadamori Kojaku’s page.
Keynote & Invited Talks
2026
- Keynote Speach, CompleNet 2026, Zaragoza, Spain, May 4-8, 2026 [Slides]
2026
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“Panelist: Practical and Ethical Insights on Using AI in Complex Systems (yrCSS panel)”, Conference on Complex Systems (CCS 2026), Binghamton, NY, USA, October 13, 2026
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“Reproducible research and automation and how to regain work-life balance”, yrCSS CCS Warm-Up 2026, Binghamton University, Binghamton, NY, USA, October 9, 2026 [Slides]
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“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
2026
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“Detectability threshold in weighted modular networks” (Filippo Radicchi, Filipi N. Silva, Alessandro Flammini, Santo Fortunato, Sadamori Kojaku) — NetSci, Boston, MA, USA, June 3-5, 2026
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“Uncovering simultaneous breakthroughs with a robust measure of disruptiveness” (Sadamori Kojaku, Munjung Kim, Yong-Yeol Ahn) — Conference on Complex Systems (CCS 2026), Binghamton, NY, USA, October 16, 2026 [Slides]
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
2026
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“Fast inference for maximum entropy configuration models” (Xuanchi Li, Sadamori Kojaku) — NetSci, Boston, MA, USA, June 3, 2026
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“Paired Perturbation Evaluation Reveals Bounded and Non-Linear Failure Propagation in Clinical Language Pipelines” (Chand Sahil Mansuri, Sadamori Kojaku) — Conference on Complex Systems (CCS 2026), Binghamton, NY, USA, October 14, 2026
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.