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Neighbor-Aware Snapshot-Based Temporal Graph Learning

Jinxi Yang, He Li, Wei Yu, Xingyu Gao and 1 more

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

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DASM: Dynamic Autoregressive Subgraph Mining via Two-Stage Policy Alignment

Yuming Huang, Haoran Yin, Wu

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

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MM-DyGraph: A Dataset, Benchmark, and Model for Multimodal Dynamic Graphs

Zongyuan Wu, Pengjie Wang, Lingshan Chen, Tianhang Wan and 4 more

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

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Practical Non-Stationary Graph Gaussian Processes

Senanayak Sesh Kumar Karri, Viacheslav (Slava) Borovitskiy

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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Graph Anomaly Detection as Dynamical Transport: Training-Free Scoring via Empirical Bayes

Fred Xu, Thomas Markovich, florence regol, Yizhou Sun

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

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Hierarchical Regime-Conditioned Dynamics for Spatiotemporal Graphs

Jeremy Baffou, Pascal Frossard, Dorina Thanou

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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WavCIL: Wavelet Coefficient-Domain Invariant Learning for Dynamic Graph OOD Generalization

Yantong Zhu, Weining Shi, Keyi Li, Xiaoyan Xie and 5 more

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

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Learning Global Temporal Dynamics in Sparse Networks via Cycle Counts

Xinyuan Fan, Dong Huang, Tianpai Luo, Pengkun Yang and 1 more

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

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Long-Range Spatio-Temporal Graph Propagation Through Oscillations

Alessio Gravina, Alessandro Trenta, Tai Hoang, Andrea Ceni and 2 more

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

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Efficient Algorithms For Fully Dynamic Bipartite Matching In Metric Spaces

Pankaj Agarwal, Oliver Chubet, Sharath Raghvendra, Arian Zamani

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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When, Where, What: Structural Guarantees for Travel Time Prediction on Temporal Graphs

Gabriel Buginga, Gabriel D Vilela, Jincheng Zhou, Mohit Tawarmalani and 1 more

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

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A Topological Encoder Decoder Framework for Temporal Graph Learning

Ronan Buck, Kiarash Shamsi, Tran Gia Bao Ngo, Astrit Tola and 2 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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Hydra: Towards Transferable Multi-Task Learning on Temporal Graphs

Kiarash Shamsi, Farimah Poursafaei, Tran Gia Bao Ngo, Reihaneh Rabbany and 5 more

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

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Chasing Label Shifters: A Change-Aware Framework for Dynamic Graph Node Classification

Junghoon Kim, Seungyoon Choi, Hyunsung Kim, Chanyoung Park

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

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AI panel: 1 of 20 reviewers recommend it
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57%Worth a look
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SRA: Spatial Reasoning Adapter via Evolving Social Interaction Graphs for Trajectory Prediction

Jaewoo Jeong, Seonkyu Song, Hyeonwoo Park, Jegyeong Cho and 4 more

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

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71%Highly rated
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ASTRA: ADMM-Accelerated Topology Reconfiguration for Dynamic Satellite Constellations

ASTRA uses ADMM-accelerated online learning to reconfigure satellite topologies efficiently with logarithmic regret and strong real-world performance.

João Norberto, Ricardo N. Ferreira, Claudia Soares

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

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AI panel: 6 of 20 reviewers recommend it
lenient 3/5
medium 2/10
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83%Must read
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UFO: A Unified Flow-Oriented Framework for Robust Continual Graph Learning

UFO proposes a flow-oriented continual graph learning framework that combats catastrophic forgetting and noisy-label-induced catastrophic remembering via generative replay and instance reliability scoring, outperforming baselines across benchmarks.

Danhui Zhang, Zhe Wang, Qing Qing, Jiarui Liu and 5 more

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

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 8/10
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