45%Niche pick?Niche pickVote to see the scoreNeurIPS 2026WuhanChinese Academy of SciencesDynamic graphsNeighbor-Aware Snapshot-Based Temporal Graph LearningJinxi Yang, He Li, Wei Yu, Xingyu Gao and 1 moreSydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026– ReadersNo votes yet0/20 AI panelreviewers recommend itReaders and the AI panel: vote on this paper to see what they said.Worth readingNot for meOnly vote on papers you've read. Sign in with GitHub to vote.AI panel: 0 of 20 reviewers recommend itlenient 0/5medium 0/10strict 0/5
45%Niche pick?Niche pickVote to see the scoreNeurIPS 2026TianjinDynamic graphsDASM: Dynamic Autoregressive Subgraph Mining via Two-Stage Policy AlignmentYuming Huang, Haoran Yin, WuSydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026– ReadersNo votes yet0/20 AI panelreviewers recommend itReaders and the AI panel: vote on this paper to see what they said.Worth readingNot for meOnly vote on papers you've read. Sign in with GitHub to vote.AI panel: 0 of 20 reviewers recommend itlenient 0/5medium 0/10strict 0/5
45%Niche pick?Niche pickVote to see the scoreNeurIPS 2026TsinghuaTsinghua University, TsinghuaDynamic graphsMM-DyGraph: A Dataset, Benchmark, and Model for Multimodal Dynamic GraphsZongyuan Wu, Pengjie Wang, Lingshan Chen, Tianhang Wan and 4 moreSydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026– ReadersNo votes yet0/20 AI panelreviewers recommend itReaders and the AI panel: vote on this paper to see what they said.Worth readingNot for meOnly vote on papers you've read. Sign in with GitHub to vote.AI panel: 0 of 20 reviewers recommend itlenient 0/5medium 0/10strict 0/5
45%Niche pick?Niche pickVote to see the scoreNeurIPS 2026Imperial College LondonU EdinburghDynamic graphsPractical Non-Stationary Graph Gaussian ProcessesSenanayak Sesh Kumar Karri, Viacheslav (Slava) BorovitskiySydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026– ReadersNo votes yet0/20 AI panelreviewers recommend itReaders and the AI panel: vote on this paper to see what they said.Worth readingNot for meOnly vote on papers you've read. Sign in with GitHub to vote.AI panel: 0 of 20 reviewers recommend itlenient 0/5medium 0/10strict 0/5
57%Worth a look?Worth a lookVote to see the scoreNeurIPS 2026UCLABlockmcgillDynamic graphsGraph Anomaly Detection as Dynamical Transport: Training-Free Scoring via Empirical BayesFred Xu, Thomas Markovich, florence regol, Yizhou SunAtlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026– ReadersNo votes yet1/20 AI panelreviewers recommend itReaders and the AI panel: vote on this paper to see what they said.Worth readingNot for meOnly vote on papers you've read. Sign in with GitHub to vote.AI panel: 1 of 20 reviewers recommend itlenient 1/5medium 0/10strict 0/5
45%Niche pick?Niche pickVote to see the scoreNeurIPS 2026EPFL - EPF LausanneEPFLDynamic graphsHierarchical Regime-Conditioned Dynamics for Spatiotemporal GraphsJeremy Baffou, Pascal Frossard, Dorina ThanouSydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026– ReadersNo votes yet0/20 AI panelreviewers recommend itReaders and the AI panel: vote on this paper to see what they said.Worth readingNot for meOnly vote on papers you've read. Sign in with GitHub to vote.AI panel: 0 of 20 reviewers recommend itlenient 0/5medium 0/10strict 0/5
57%Worth a look?Worth a lookVote to see the scoreNeurIPS 2026XiamenJilinChina Electric Power Research IChina Electric Power Research InU YorkDynamic graphsWavCIL: Wavelet Coefficient-Domain Invariant Learning for Dynamic Graph OOD GeneralizationYantong Zhu, Weining Shi, Keyi Li, Xiaoyan Xie and 5 moreSydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026– ReadersNo votes yet1/20 AI panelreviewers recommend itReaders and the AI panel: vote on this paper to see what they said.Worth readingNot for meOnly vote on papers you've read. Sign in with GitHub to vote.AI panel: 1 of 20 reviewers recommend itlenient 1/5medium 0/10strict 0/5
45%Niche pick?Niche pickVote to see the scoreNeurIPS 2026TsinghuaSouthwestern University of FinanTsinghua University, TsinghuaDynamic graphsLearning Global Temporal Dynamics in Sparse Networks via Cycle CountsXinyuan Fan, Dong Huang, Tianpai Luo, Pengkun Yang and 1 moreSydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026– ReadersNo votes yet0/20 AI panelreviewers recommend itReaders and the AI panel: vote on this paper to see what they said.Worth readingNot for meOnly vote on papers you've read. Sign in with GitHub to vote.AI panel: 0 of 20 reviewers recommend itlenient 0/5medium 0/10strict 0/5
45%Niche pick?Niche pickVote to see the scoreNeurIPS 2026U PisaUniversita' di Pisa, UniverKarlsruhe Institute of TechnologDynamic graphsLong-Range Spatio-Temporal Graph Propagation Through OscillationsAlessio Gravina, Alessandro Trenta, Tai Hoang, Andrea Ceni and 2 moreParis Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026– ReadersNo votes yet0/20 AI panelreviewers recommend itReaders and the AI panel: vote on this paper to see what they said.Worth readingNot for meOnly vote on papers you've read. Sign in with GitHub to vote.AI panel: 0 of 20 reviewers recommend itlenient 0/5medium 0/10strict 0/5
45%Niche pick?Niche pickVote to see the scoreNeurIPS 2026Department of Computer Science, North Carolina StateDukeDynamic graphsEfficient Algorithms For Fully Dynamic Bipartite Matching In Metric SpacesPankaj Agarwal, Oliver Chubet, Sharath Raghvendra, Arian ZamaniAtlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026– ReadersNo votes yet0/20 AI panelreviewers recommend itReaders and the AI panel: vote on this paper to see what they said.Worth readingNot for meOnly vote on papers you've read. Sign in with GitHub to vote.AI panel: 0 of 20 reviewers recommend itlenient 0/5medium 0/10strict 0/5
57%Worth a look?Worth a lookVote to see the scoreNeurIPS 2026PurdueInstituto Militar de EngenhariaPurdueDynamic graphsWhen, Where, What: Structural Guarantees for Travel Time Prediction on Temporal GraphsGabriel Buginga, Gabriel D Vilela, Jincheng Zhou, Mohit Tawarmalani and 1 moreAtlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026– ReadersNo votes yet1/20 AI panelreviewers recommend itReaders and the AI panel: vote on this paper to see what they said.Worth readingNot for meOnly vote on papers you've read. Sign in with GitHub to vote.AI panel: 1 of 20 reviewers recommend itlenient 1/5medium 0/10strict 0/5
45%Niche pick?Niche pickVote to see the scoreNeurIPS 2026U Central FloridaU ManitobaFlorida StateUT DallasDynamic graphsA Topological Encoder Decoder Framework for Temporal Graph LearningRonan Buck, Kiarash Shamsi, Tran Gia Bao Ngo, Astrit Tola and 2 moreAtlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026– ReadersNo votes yet0/20 AI panelreviewers recommend itReaders and the AI panel: vote on this paper to see what they said.Worth readingNot for meOnly vote on papers you've read. Sign in with GitHub to vote.AI panel: 0 of 20 reviewers recommend itlenient 0/5medium 0/10strict 0/5
45%Niche pick?Niche pickVote to see the scoreNeurIPS 2026U ManitobaMcGillMcGill, MilaUT DallasMila - Université de MontréalDynamic graphsHydra: Towards Transferable Multi-Task Learning on Temporal GraphsKiarash Shamsi, Farimah Poursafaei, Tran Gia Bao Ngo, Reihaneh Rabbany and 5 moreAtlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026– ReadersNo votes yet0/20 AI panelreviewers recommend itReaders and the AI panel: vote on this paper to see what they said.Worth readingNot for meOnly vote on papers you've read. Sign in with GitHub to vote.AI panel: 0 of 20 reviewers recommend itlenient 0/5medium 0/10strict 0/5
57%Worth a look?Worth a lookVote to see the scoreNeurIPS 2026Korea Advanced Institute of ScieKorea Advanced Institute of ScieDynamic graphsChasing Label Shifters: A Change-Aware Framework for Dynamic Graph Node ClassificationJunghoon Kim, Seungyoon Choi, Hyunsung Kim, Chanyoung ParkSydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026– ReadersNo votes yet1/20 AI panelreviewers recommend itReaders and the AI panel: vote on this paper to see what they said.Worth readingNot for meOnly vote on papers you've read. Sign in with GitHub to vote.AI panel: 1 of 20 reviewers recommend itlenient 1/5medium 0/10strict 0/5
57%Worth a look?Worth a lookVote to see the scoreNeurIPS 2026Korea Advanced Institute of ScieDaegu Gyeongbuk Institute of SciDGISTKorea Advanced Institute of ScieDynamic graphsSRA: Spatial Reasoning Adapter via Evolving Social Interaction Graphs for Trajectory PredictionJaewoo Jeong, Seonkyu Song, Hyeonwoo Park, Jegyeong Cho and 4 moreSydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026– ReadersNo votes yet1/20 AI panelreviewers recommend itReaders and the AI panel: vote on this paper to see what they said.Worth readingNot for meOnly vote on papers you've read. Sign in with GitHub to vote.AI panel: 1 of 20 reviewers recommend itlenient 1/5medium 0/10strict 0/5
71%Highly rated?Highly ratedVote to see the scoreNeurIPS 2026NOVA School of Science and TechnDynamic graphsASTRA: ADMM-Accelerated Topology Reconfiguration for Dynamic Satellite ConstellationsASTRA uses ADMM-accelerated online learning to reconfigure satellite topologies efficiently with logarithmic regret and strong real-world performance.João Norberto, Ricardo N. Ferreira, Claudia SoaresSydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026– ReadersNo votes yet6/20 AI panelreviewers recommend itReaders and the AI panel: vote on this paper to see what they said.Worth readingNot for meOnly vote on papers you've read. Sign in with GitHub to vote.AI panel: 6 of 20 reviewers recommend itlenient 3/5medium 2/10strict 1/5
83%Must read?Must readVote to see the scoreNeurIPS 2026JilinAdelaideRMITJinanRoyal Melbourne Institute of TecDynamic graphsUFO: A Unified Flow-Oriented Framework for Robust Continual Graph LearningUFO 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 moreSydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026– ReadersNo votes yet13/20 AI panelreviewers recommend itReaders and the AI panel: vote on this paper to see what they said.Worth readingNot for meOnly vote on papers you've read. Sign in with GitHub to vote.AI panel: 13 of 20 reviewers recommend itlenient 5/5medium 8/10strict 0/5