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arxiv_id,title,authors,published,url
2610.31572v1,On the Token Collapse Phenomenon in Textual Graph Soft Prompting,Andrea Giuseppe Di Francesco; Rishabh Jain; Franco Maria Nardini; Nicola Tonellotto; Pietro Liò; Fabrizio Silvestri,2026-10-22T17:13:03Z,http://arxiv.org/abs/2610.31572v1
2610.31183v1,Unconstrained learning of equivariant atomistic properties,Joseph W. Abbott; Paolo Pegolo; Pol Febrer; Michelangelo Domina; Sandra Saade; Matthias Kellner; Filippo Bigi; Philip Loche; Michele Ceriotti,2026-10-22T12:33:41Z,http://arxiv.org/abs/2610.31183v1
2610.30748v1,Visualizing and Interpreting Temporal Care Team Dynamics for Cancer Survival Risk Analysis,Yuhua Huang; Hsiao-Ying Lu; Kwan-Liu Ma,2026-10-22T05:16:53Z,http://arxiv.org/abs/2610.30748v1
2610.30394v1,Escaping the Phylogenetic Trap: Persistent Homology Enables Cross-Species Ion Channel Classification via Multimodal Graph Neural Networks,Arezoo Bybordi; Favour Achimba; Mariam Gelashvili; Jessy Ramirez; Weigang Qiu; Mandë Holford; Anita Raja,2026-10-21T19:59:07Z,http://arxiv.org/abs/2610.30394v1
2610.29725v1,Structure-Aware Message Passing on Petri Nets through Directed Walks and Incidence Diffusion,Geri Skenderi,2026-10-21T13:31:05Z,http://arxiv.org/abs/2610.29725v1
2610.29667v1,Leveraging Time-Series Foundation Models for Financial Crime Detection,Danae Natalie Savvidi; H. Çağrı Bilgi; Kubilay Atasu; Arie van Deursen,2026-10-21T12:42:17Z,http://arxiv.org/abs/2610.29667v1
2610.29630v1,Space weather dependence of decameter-scale ionospheric irregularities spatial distribution,Oleg I. Berngardt; Ivan A. Lavygin,2026-10-21T12:12:15Z,http://arxiv.org/abs/2610.29630v1
2610.29589v1,Fragment-Level Graph Encoding for Interpretable Molecular Property Prediction,Rafael Lopes Almeida; Ina Pöhner,2026-10-21T11:29:50Z,http://arxiv.org/abs/2610.29589v1
2610.29571v1,Implicit Feature Reweighting for Label-Free Graph Generalization,Tianjun Yao; Chen Xi; Xinyang Li; Lixian Zhong,2026-10-21T11:04:32Z,http://arxiv.org/abs/2610.29571v1
2610.29111v1,SU(2)-Equivariant Spinor Message Passing for Molecular Magnetism,Erh-Wei Sheng; Beom Seok Kang; Yuchao Lin; Danish Khan; Anima Anandkumar,2026-10-21T02:51:38Z,http://arxiv.org/abs/2610.29111v1
2610.28899v1,Data-Driven Glyph Positioning for Handwritten Music Synthesis,Elona Shatri; Jiří Mayer; Jan Hajič,2026-10-20T20:25:26Z,http://arxiv.org/abs/2610.28899v1
2610.28486v1,Reduced graph-based representations of detonation-containing flows,Sinaendhran Pujali Elilarasan; Michael Ullman; Shivam Barwey,2026-10-20T16:31:26Z,http://arxiv.org/abs/2610.28486v1
2610.28378v1,Topology-Adaptive Seismic Response Prediction of Interconnected Structural Systems Using Reduced Order Model Embedded Graph Neural Network,Huangbin Liang; Beatriz Moya; Francisco Chinesta; Eleni Chatzi,2026-10-20T15:32:14Z,http://arxiv.org/abs/2610.28378v1
2610.28318v1,Stabilizing Filters for Graph Signal Generation,Martin Schmidt; Gonzalo Mateos,2026-10-20T14:54:30Z,http://arxiv.org/abs/2610.28318v1
2610.28250v1,Physics-constrained graph closures and working-point conditioning for a fast surrogate of linac beam dynamics,Bowen Zhang; Dazhang Huang; Nengyuan Zhang; Duan Gu; Chao Feng,2026-10-20T14:10:44Z,http://arxiv.org/abs/2610.28250v1
2610.30186v1,SIGNN++: Robust Graph Neural Star Identification on Earth,Jeongbin Sohn; Jina Lee; Max Yen; Dowan Gwon; Jeahn Han; Floyd Hepburn-Dickins; Brian Coltin; Ryan Soussan; Pyojin Kim,2026-10-20T12:39:22Z,http://arxiv.org/abs/2610.30186v1
2610.27614v1,Learning Inter-Graph Interactions Between Heterogeneous Substructures of Chemical Systems,Gyoung S. Na,2026-10-20T04:27:45Z,http://arxiv.org/abs/2610.27614v1
2610.27558v1,AnchorRM: Parallel Intra-Batch State Reconstruction with Anchor-Based Residual Memory for Temporal Graph Neural Networks,Haroon Gharwi; Kai Shu; Yue Dai,2026-10-20T03:15:16Z,http://arxiv.org/abs/2610.27558v1
2610.27107v1,RGH-GNN : Risk-Gated Heterogeneous Graph Neural Network for Financial Fraud Detection,Mythreyee Hari; Subin Sahayam; Vegesna S M Srinivasavarma,2026-10-19T18:07:47Z,http://arxiv.org/abs/2610.27107v1
2610.27051v1,Graph Neural Networks for Astrophysics and Cosmology,Christian Kragh Jespersen,2026-10-19T18:00:00Z,http://arxiv.org/abs/2610.27051v1
2610.26351v1,PhyPro-FM: A Physics and Prompt-Guided Graph Foundation Model for Contingency Analysis,Xu Yang; Zhanyuan Sheng; Chenhui Lin; Haotian Liu; Qi Wang; Yue Yang; Wenchuan Wu,2026-10-19T13:16:43Z,http://arxiv.org/abs/2610.26351v1
2610.26285v1,Learning SOCP Solver Dynamics with Graph Neural Networks,Adam Ghalem; Lou Salaün; Davide Rinaldi; Fragkiskos D. Malliaros,2026-10-19T12:37:58Z,http://arxiv.org/abs/2610.26285v1
2610.26187v1,On Counting Graphs for Modal Logic with Counting,Avijeet Ghosh; François Schwarzentruber,2026-10-19T11:17:34Z,http://arxiv.org/abs/2610.26187v1
2610.26153v1,Physics-Driven Framework for QoS-Constrained Satellite System with Non-Linear PA Distortion,Hamza Ahmed Qureshi; Abuzar Babikir Mohammad Adam; Vu Nguyen Ha; Konstantinos Ntontin; Symeon Chatzinotas,2026-10-19T10:41:08Z,http://arxiv.org/abs/2610.26153v1
2610.26104v1,Declarative Explanations for Graph Neural Networks: A Demonstration,Cibo Yu; Haitong Tang; Yinghui Wu; Arijit Khan; Tingting Zhu; Tingyang Chen; Xiangyu Ke,2026-10-19T10:01:19Z,http://arxiv.org/abs/2610.26104v1
2610.25991v1,Map-Distribution Mixture-of-Experts for Multi-Agent Pathfinding,Fumimaro Suzuki; Keisuke Okumura,2026-10-19T08:17:34Z,http://arxiv.org/abs/2610.25991v1
2610.25775v1,Crystal Structure Based Graph Neural Network And LLM Multi-Modal Approach for Material Magnetic Ordering Prediction,Adam Zheng; April Zheng; Sheng Ran,2026-10-19T04:39:00Z,http://arxiv.org/abs/2610.25775v1
2610.25124v1,Secure Distortion-Aware GNN Precoding under Active Eavesdropping in Cell-Free Networks,Reza Ghasemi Alavicheh; Thomas Feys; Md Arifur Rahman; François Rottenberg,2026-10-18T09:04:21Z,http://arxiv.org/abs/2610.25124v1
2610.24875v1,RAFT: Redundancy-Aware Input Filtering for Temporal Graph Neural Network Training,Yue Dai; Sarah Zhou; Youtao Zhang,2026-10-17T21:26:41Z,http://arxiv.org/abs/2610.24875v1
2610.26933v1,"Rate as a Feature, Not a Nuisance: Curriculum FiLM Training for Event-Based Graph Neural Networks",Kavyansh Tyagi; Andreas Ziegler,2026-10-17T19:13:11Z,http://arxiv.org/abs/2610.26933v1