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Sparsifying Correlation Clustering: Edge Coresets, Triangle Witnesses, and Observation Lower Bounds

Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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A New Perspective on Target-Conditioned Structural Dynamics for Link Prediction in Dynamic Graphs

YUANYUAN XU, Yin Chen, Yingxuan Li, Wenjie Zhang and 2 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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Invariant Hyperbolic Unfolding: Radial Canonicalization for Label-Free Cross-Graph Link Prediction

Taehee Lee

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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From Link Prediction to Linear Community Detection: A Finite-Sample Guarantee for Graph Pretraining

Ying Chen, Zhangyang "Atlas" Wang, Yixuan He

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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Publishing Below-Threshold Triangle Counts under Local Weight Differential Privacy

A two-round local weight differential privacy algorithm counts below-threshold triangles in weighted graphs with public topology, providing biased and unbiased estimators plus covariance and sensitivity refinements.

Kevin Pfisterer, Quentin Hillebrand, Vorapong Suppakitpaisarn

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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Rank Is Not Capacity: Spectral Occupancy for Latent Graph Models

Spectra replaces fixed latent rank with a train-time controllable effective-rank coordinate via trace-normalized spectral prefixes, making model capacity a fitted property rather than a hyperparameter.

Nikolaos Nakis, Panagiotis Promponas, Konstantinos Tsirkas, Katerina Mamali and 3 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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AI panel: 15 of 20 reviewers recommend it
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medium 9/10
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