Key papers

• Sequentially-Controlled Interactive Multi-Particle Flow-Maps for Online Feedback-Driven Search (2026)
  Binglin Ji et al.
  4.33
• Dual-domain fused LSTM modeling for efficient time-dependent reliability analysis (2026)
  Yixin Zhang et al.
  4.33
• Equi-Euler GraphNet: An Equivariant, Temporal-Dynamics Informed Graph Neural Network for Dual Force and Trajectory Prediction in Multi-Body Systems (2025)
  Vinay Sharma et al.
  3.64
• Zero-Copy Semantic Contagion: An In-Memory Streaming Architecture for Evolving Attention Graphs (2026)
  Kabir Murjani
  1.89
• Mesh Graph Neural Network Framework for Accelerating Finite Element Simulation for Arbitrary Geometries (2026)
  Josiah D. Kunz et al.
  1.89
• Non-linear mechanical field reconstruction coupling recurrent neural networks with physics-informed graph neural networks (2026)
  Manuel Ricardo Guevara Garban et al.
  1.89
• A Hybrid Method for Low-Resource Named Entity Recognition (2026)
  Do Minh Duc et al.
  1.83
• GraphNetz: Statistical Benchmarking of Graph Neural Networks with Paired Tests and Rank Aggregation (2026)
  Kleyton da Costa et al.
  1.83
• Crash Assessment via Mesh-Based Graph Neural Networks and Physics-Aware Attention (2026)
  Gabriel Curtosi et al.
  1.83
• Representing Higher-Order Networks: A Survey of Graph-Based Frameworks (2026)
  Takaaki Fujita et al.
  1.83
• Bi-Level Chaotic Fusion Based Graph Convolutional Network for Stock Market Prediction Interval (2026)
  Eshwar Sai Kandimalla et al.
  1.83
• Dynamic Hypergraph Representation Learning for Multivariate Time Series without Prior Knowledge (2026)
  Marco Gregnanin and Johannes De Smedt and Giorgio Gnecco and Maurizio Parton
  1.83
• Cross-attention-based bipartite graph neural network for coupled nodal and elemental field prediction in large-deformation sheet material forming (2026)
  Yingxue Zhao et al.
  1.83
• Sparse Autoencoders as a Steering Basis for Phase Synchronization in Graph-Based CFD Surrogates (2026)
  Yeping Hu et al.
  1.78
• Fraud Detection in Cryptocurrency Markets with Spatio-Temporal Graph Neural Networks (2026)
  Lidia Losavio and Luca Persia and Madan Sathe and Dimosthenis Pasadakis
  1.78
• Exploring Drug Safety Through Knowledge Graphs: Protein Kinase Inhibitors as a Case Study (2026)
  David Jackson et al.
  1.72
• Spatio-Temporal Attention Graph Neural Network: Explaining Causalities With Attention (2026)
  Kosti Koistinen et al.
  1.72
• TRACE: Temporal Rule-Anchored Chain-of-Evidence on Knowledge Graphs for Interpretable Stock Movement Prediction (2026)
  Qianggang Ding et al.
  1.72
• ST-ResGAT: Explainable Spatio-Temporal Graph Neural Network for Road Condition Prediction and Priority-Driven Maintenance (2026)
  Mohsin Mahmud Topu et al.
  1.72
• Building evidence-based knowledge bases from full-text literature for disease-specific biomedical reasoning (2026)
  Chang Zong et al.
  1.72
• FlashSchNet: Fast and Accurate Coarse-Grained Neural Network Molecular Dynamics (2026)
  Pingzhi Li et al.
  1.67
• Federated Graph AGI for Cross-Border Insider Threat Intelligence in Government Financial Schemes (2026)
  Srikumar Nayak et al.
  1.67
• A Semi-supervised Molecular Learning Framework for Activity Cliff Estimation (2026)
  Fang Wu
  1.61
• Distributional Computational Graphs: Error Bounds (2026)
  Olof Hallqvist Elias et al.
  1.61
• SpecBridge: Bridging Mass Spectrometry and Molecular Representations via Cross-Modal Alignment (2026)
  Yinkai Wang et al.
  1.61
• Synthetic Pattern Generation and Detection of Financial Activities using Graph Autoencoders (2026)
  Francesco Zola et al.
  1.61
• AtomDisc: An Atom-level Tokenizer that Boosts Molecular LLMs and Reveals Structure--Property Associations (2025)
  Mingxu Zhang and Dazhong Shen and Ying Sun
  1.56
• A Roadmap for Applying Graph Neural Networks to Numerical Data: Insights from Cementitious Materials (2025)
  Mahmuda Sharmin et al.
  1.56
• CauSTream: Causal Spatio-Temporal Representation Learning for Streamflow Forecasting (2025)
  Shu Wan et al.
  1.56
• DynBERG: Dynamic BERT-based Graph neural network for financial fraud detection (2025)
  Omkar Kulkarni et al.
  1.50
• Digital Twin-Driven Pavement Health Monitoring and Maintenance Optimization Using Graph Neural Networks (2025)
  Mohsin Mahmud Topu and Mahfuz Ahmed Anik and Azmine Toushik Wasi and Md Manjurul Ahsan
  1.50
• GraphCliff: Short-Long Range Gating for Subtle Differences but Critical Changes (2025)
  Hajung Kim et al.
  1.50
• DK-Root: A Joint Data-and-Knowledge-Driven Framework for Root Cause Analysis of QoE Degradations in Mobile Networks (2025)
  Qizhe Li et al.
  1.50
• MolEdit: Knowledge Editing for Multimodal Molecule Language Models (2025)
  Zhenyu Lei et al.
  1.50
• UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs for Urban Microclimate Prediction (2025)
  Weilin Xin et al.
  1.44
• Heterogeneous Graph Representation of Stiffened Panels with Non-Uniform Boundary Conditions and Loads (2025)
  Yuecheng Cai et al.
  1.44
• VisitHGNN: Heterogeneous Graph Neural Networks for Modeling Point-of-Interest Visit Patterns (2025)
  Lin Pang and Jidong J. Yang
  1.44
• Towards Structured Knowledge: Advancing Triple Extraction from Regional Trade Agreements using Large Language Models (2025)
  Durgesh Nandini et al.
  1.44
• Controllable Graph Generation with Diffusion Models via Inference-Time Tree Search Guidance (2025)
  Jiachi Zhao et al.
  1.44
• Explainable Heterogeneous Anomaly Detection in Financial Networks via Adaptive Expert Routing (2025)
  Zan Li et al.
  1.44
• Graph Network-based Structural Simulator: Graph Neural Networks for Structural Dynamics (2025)
  Alessandro Lucchetti (1) et al.
  1.44
• M4GN: Mesh-based Multi-segment Hierarchical Graph Network for Dynamic Simulations (2025)
  Bo Lei et al.
  1.39
• A Graph Machine Learning Approach for Detecting Topological Patterns in Transactional Graphs (2025)
  Francesco Zola et al.
  1.39
• Physics-Informed GCN-LSTM Framework for Long-Term Forecasting of 2D and 3D Microstructure Evolution (2025)
  Hamidreza Razavi et al.
  1.39
• AutoClimDS: Climate Data Science Agentic AI -- A Knowledge Graph is All You Need (2025)
  Ahmed Jaber et al.
  1.39
• GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction (2025)
  Fan Ding et al.
  1.33
• Physics-Inspired Spatial Temporal Graph Neural Networks for Predicting Industrial Chain Resilience (2025)
  Bicheng Wang and Junping Wang and Yibo Xue
  1.33
• Flow-Through Tensors: A Unified Computational Graph Architecture for Multi-Layer Transportation Network Optimization (2025)
  Xuesong (Simon) Zhou et al.
  1.28
• Topic Modeling and Link-Prediction for Material Property Discovery (2025)
  Ryan C. Barron et al.
  1.28
• EP-GAT: Energy-based Parallel Graph Attention Neural Network for Stock Trend Classification (2025)
  Zhuodong Jiang et al.
  1.28
• Graph Neural Network Surrogates for Contacting Deformable Bodies with Necessary and Sufficient Contact Detection (2025)
  Vijay K. Dubey (1) et al.
  1.28
• Controlling the Spread of Epidemics on Networks with Differential Privacy (2025)
  Dung Nguyen et al.
  1.22
• Regulatory Graphs and GenAI for Real-Time Transaction Monitoring and Compliance Explanation in Banking (2025)
  Kunal Khanvilkar et al.
  1.22
• A Study of Dynamic Stock Relationship Modeling and S&P500 Price Forecasting Based on Differential Graph Transformer (2025)
  Linyue Hu et al.
  1.22
• MatMMFuse: Multi-Modal Fusion model for Material Property Prediction (2025)
  Abhiroop Bhattacharya and Sylvain G. Cloutier
  1.17
• B-XAIC Dataset: Benchmarking Explainable AI for Graph Neural Networks Using Chemical Data (2025)
  Magdalena Proszewska et al.
  1.17
• Scaling Graph Neural Networks for Particle Track Reconstruction (2025)
  Alok Tripathy and Alina Lazar and Xiangyang Ju and Paolo Calafiura and Katherine Yelick and Aydin Buluc
  1.11
• GraphPINE: Graph Importance Propagation for Interpretable Drug Response Prediction (2025)
  Yoshitaka Inoue et al.
  1.11
• Graph Neural Network-Based Predictive Modeling for Robotic Plaster Printing (2025)
  Diego Machain Rivera et al.
  1.06
• KARMA: Leveraging Multi-Agent LLMs for Automated Knowledge Graph Enrichment (2025)
  Yuxing Lu et al.
  1.00