Key papers

• Large-Language-Models-as-a-Judge in Theory-Agnostic Adaptive Metric-Alignment for Prototypical Networks in Personality Recognition (2026)
  Jing Jie Tan et al.
  5.89
• Conceptual Networks for Cross-Linguistic Idiomatic Expressions: A Feature-Based Graph Approach (2026)
  Kiran Pala et al.
  5.01
• Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey (2026)
  Chengcheng Sun et al.
  4.39
• GES-TSP: Graph Edge Sparsification for TSP (2026)
  Tianfeng Chen et al.
  4.39
• From Patterns to Maze Structures: SMT-Based Path Synthesis and 2D/3D Construction (2026)
  Shengyi Wang
  4.39
• Instruction Set and Language for Hypergraphs (2026)
  Mario Pascual-Gonzalez et al.
  4.39
• PREF-Gate: Provenance-Constrained Relational Evidence Fusion with Validation-Gated Selection for Graph Fraud Detection (2026)
  Liming Liu et al.
  4.39
• Institutional Equity Holdings Prediction Using Node Affinities of Dynamic Graphs (2026)
  Emad Izadifar et al.
  4.39
• Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems (2026)
  Youngseok Hwang et al.
  4.39
• Graph2Idea:Retrieval-Augmented Scientific Idea Generation with Graph-Structured Contexts (2026)
  Xu Li et al.
  4.33
• GraphBU: MILP Instance Generation with Graph-Native Block Units (2026)
  Xiaolei Guo et al.
  3.51
• Learning the Graphical Nature of Symmetries (2026)
  Rashid Barket et al.
  3.51
• EdgeRefine: Privacy-Utility Balance for Graphs via Jaccard Sampling under Edge Differential Privacy (2026)
  Wenxiu Ding et al.
  2.00
• Eliminating Propagation Delay: Attention-Based Spatial-Temporal Fusion Graph Convolution Network for Traffic Flow Prediction (2026)
  Jinpeng Chen et al.
  2.00
• Automatic Knowledge Graph Construction and Query for Earthquake Catalogs (2026)
  Yuxin Zhou et al.
  2.00
• Semantic Space Search Trajectory Networks (2026)
  Julian Agudelo et al.
  2.00
• A Foundational Perspective for Partitional Clustering on Networks (2026)
  Derya Ipek Eroglu et al.
  2.00
• CondPSE: A Polynomial-Filtered Structural Encoder with Conditional Modulation for Graphs (2026)
  Woohyun Lee et al.
  2.00
• TopoGR: Revealing and Preserving Latent Structure of Semantic ID in Generative Recommendation (2026)
  Ziyu Zheng et al.
  2.00
• HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks (2026)
  Phan Binh Nguyen Lam et al.
  2.00
• Breaking the Periodicity Assumption: Robust Tensorial Multi-View Clustering via Graph-Spectral Low-Rank Learning (2026)
  Jintian Ji et al.
  2.00
• Learned, Relied Upon, or Necessary? Separating Checkpoint Dependence from Task-Level Value in Sheaf GNNs (2026)
  Yi Liu
  2.00
• TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation (2026)
  He Ma et al.
  2.00
• Contrastive Representation Learning of Longitudinal Disease Trajectories on Temporal Graphs (2026)
  Bastian Pfeifer
  2.00
• GraphIDyOM: A graph-native Python reimplementation of IDyOM for musical expectation modelling (2026)
  Lluc Bono Rossell\'o
  2.00
• CHARM: A Multimodal Graph Foundation Model with Hierarchical Context Modeling for Zero-Shot Transfer (2026)
  Ankang Yang et al.
  2.00
• GraphPINE: Graph Importance Propagation for Interpretable Drug Response Prediction (2026)
  Yoshitaka Inoue et al.
  1.94
• Position: Graph Condensation Needs a Reset -- Move Beyond Full-dataset Training and Model-Dependence (2026)
  Mridul Gupta et al.
  1.94
• Neural Networks Provably Learn Spectral Representations for Group Composition (2026)
  Jianliang He et al.
  1.94
• PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing (2026)
  Bhavya Kohli et al.
  1.78
• LiveGraph: Active-Structure Neural Re-ranking for Exercise Recommendation (2026)
  Rong Fu et al.
  1.72
• AdvSynGNN: Structure-Adaptive Graph Neural Nets via Adversarial Synthesis and Self-Corrective Propagation (2026)
  Rong Fu et al.
  1.72
• Energy-Balanced Hyperspherical Graph Representation Learning via Structural Binding and Entropic Dispersion (2025)
  Rui Chen et al.
  1.61
• Self-Reinforced Graph Contrastive Learning (2025)
  Chou-Ying Hsieh et al.
  1.22
• DICE: Device-level Integrated Circuits Encoder with Graph Contrastive Pretraining (2025)
  Sungyoung Lee et al.
  1.06
• Beyond Message Passing: Neural Graph Pattern Machine (2025)
  Zehong Wang et al.
  1.00
• Simulated annealing for optimization of graphs and sequences (2021)
  Xianggen Liu et al.
  —
• Dimensionality Reduction Meets Message Passing for Graph Node Embeddings (2022)
  Krzysztof Sadowski et al.
  —
• Directional diffusion models for graph representation learning (2023)
  Run Yang et al.
  —
• GraPhSyM: Graph Physical Synthesis Model (2023)
  Ahmed Agiza et al.
  —
• Enabling Accelerators for Graph Computing (2023)
  Kaustubh Shivdikar
  —
• Entropy Aware Message Passing in Graph Neural Networks (2024)
  Philipp Nazari et al.
  —
• Graphcode: Learning from multiparameter persistent homology using graph neural networks (2024)
  Michael Kerber et al.
  —