{"total":53,"rows":[{"id":"2508.20906","title":"Turning Tabular Foundation Models into Graph Foundation Models","created":"2025-08-28","cited_by_count":35,"area":null},{"id":"2506.14291","title":"Equivariance Everywhere All At Once: A Recipe for Graph Foundation Models","created":"2025-06-17","cited_by_count":17,"area":null},{"id":"2509.07143","title":"Bringing Graphs to the Table: Zero-shot Node Classification via Tabular Foundation Models","created":"2025-09-08","cited_by_count":16,"area":null},{"id":"2602.13697","title":"No Need to Train Your RDB Foundation Model","created":"2026-02-14","cited_by_count":10,"area":null},{"id":"2504.05478","title":"GraphRAFT: Retrieval Augmented Fine-Tuning for Knowledge Graphs on Graph Databases","created":"2025-04-07","cited_by_count":7,"area":"lr"},{"id":"2505.15405","title":"HOPSE: Scalable Higher-Order Positional and Structural Encoder for Combinatorial Representations","created":"2025-05-21","cited_by_count":5,"area":null},{"id":"2601.20815","title":"GNN Explanations that do not Explain and How to find Them","created":"2026-01-28","cited_by_count":5,"area":null},{"id":"2602.04768","title":"Billion-Scale Graph Foundation Models","created":"2026-02-04","cited_by_count":5,"area":null},{"id":"2506.24018","title":"Bridging Theory and Practice in Link Representation with Graph Neural Networks","created":"2025-06-30","cited_by_count":4,"area":null},{"id":"2510.09416","title":"What Do Temporal Graph Learning Models Learn?","created":"2025-10-10","cited_by_count":4,"area":null},{"id":"2601.19449","title":"Fixed Aggregation Features Can Rival GNNs","created":"2026-01-27","cited_by_count":4,"area":null},{"id":"2602.08519","title":"Bridging Academia and Industry: A Comprehensive Benchmark for Attributed Graph Clustering","created":"2026-02-09","cited_by_count":4,"area":null},{"id":"2606.24509","title":"A Fair Evaluation of Graph Foundation Models for Node Property Prediction","created":"2026-06-23","cited_by_count":4,"area":null},{"id":"2506.16404","title":"Generating Directed Graphs with Dual Attention and Asymmetric Encoding","created":"2025-06-19","cited_by_count":3,"area":null},{"id":"2507.03707","title":"CosmoBench: A Multiscale, Multiview, Multitask Cosmology Benchmark for Geometric Deep Learning","created":"2025-07-04","cited_by_count":3,"area":null},{"id":"2509.06580","title":"AI for Scientific Discovery is a Social Problem","created":"2025-09-08","cited_by_count":3,"area":null},{"id":"2511.16767","title":"When Structure Doesn't Help: LLMs Do Not Read Text-Attributed Graphs as Effectively as We Expected","created":"2025-11-20","cited_by_count":3,"area":null},{"id":"2505.13087","title":"Graph Alignment for Benchmarking Graph Neural Networks and Learning Positional Encodings","created":"2025-05-19","cited_by_count":2,"area":null},{"id":"2506.12588","title":"Are We Really Measuring Progress? Transferring Insights from Evaluating Recommender Systems to Temporal Link Prediction","created":"2025-06-14","cited_by_count":2,"area":null},{"id":"2509.21097","title":"GraphUniverse: Synthetic Graph Generation for Evaluating Inductive Generalization","created":"2025-09-25","cited_by_count":2,"area":null},{"id":"2511.08028","title":"Generalizable Insights for Graph Transformers in Theory and Practice","created":"2025-11-11","cited_by_count":2,"area":null},{"id":"2601.04855","title":"Rethinking GNNs and Missing Features: Challenges, Evaluation and a Robust Solution","created":"2026-01-08","cited_by_count":2,"area":null},{"id":"2601.07419","title":"Position: Don't be Afraid of Over-Smoothing And Over-Squashing","created":"2026-01-12","cited_by_count":2,"area":null},{"id":"2602.22552","title":"Relatron: Automating Relational Machine Learning over Relational Databases","created":"2026-02-26","cited_by_count":2,"area":null},{"id":"2603.00143","title":"GrapHist: Graph Self-Supervised Learning for Histopathology","created":"2026-02-24","cited_by_count":2,"area":null},{"id":"2605.07397","title":"Have Graph -- Will Lift? The Case for Higher-Order Benchmarks","created":"2026-05-08","cited_by_count":2,"area":null},{"id":"2510.05482","title":"ATOM: A Pretrained Neural Operator for Multitask Molecular Dynamics","created":"2025-10-07","cited_by_count":1,"area":null},{"id":"2511.03068","title":"Graph Homomorphism Distortion: A structural (pseudo)-metric for attributed graphs","created":"2025-11-04","cited_by_count":1,"area":null},{"id":"2603.20829","title":"Beyond the Academic Monoculture: A Unified Framework and Industrial Perspective for Attributed Graph Clustering","created":"2026-03-21","cited_by_count":1,"area":null},{"id":"2604.07492","title":"Cluster Attention for Graph Machine Learning","created":"2026-04-08","cited_by_count":1,"area":null},{"id":"2605.06462","title":"Measuring Structure in Graph Benchmark Datasets Using Graph Invariants","created":"2026-05-07","cited_by_count":1,"area":null},{"id":"2505.17939","title":"Directed Semi-Simplicial Learning with Applications to Brain Activity Decoding","created":"2025-05-23","cited_by_count":0,"area":null},{"id":"2507.13558","title":"Why Isn't Relational Learning Taking Over the World?","created":"2025-07-17","cited_by_count":0,"area":null},{"id":"2509.10337","title":"Exact Generalisation Error Exposes Benchmarks Skew Graph Neural Networks Success (or Failure)","created":"2025-09-12","cited_by_count":0,"area":null},{"id":"2509.23340","title":"CrediBench: Building Web-Scale Network Datasets for Information Integrity","created":"2025-09-27","cited_by_count":0,"area":null},{"id":"2510.08535","title":"Permutation-Invariant Spectral Learning via Dyson Diffusion","created":"2025-10-09","cited_by_count":0,"area":"diffusion"},{"id":"2510.25126","title":"Bridging the Divide: End-to-End Sequence-Graph Learning","created":"2025-10-29","cited_by_count":0,"area":null},{"id":"2511.20692","title":"The Human Brain as a Combinatorial Complex","created":"2025-11-22","cited_by_count":0,"area":null},{"id":"2512.15600","title":"How Smoothing is N-simplicial Attention?","created":"2025-12-17","cited_by_count":0,"area":null},{"id":"2602.17531","title":"Position: Evaluation of ECG Representations Must Be Fixed","created":"2026-02-19","cited_by_count":0,"area":null},{"id":"2602.20573","title":"MolGraphBench: A Benchmark of GNN Architectures for Molecular Regression Tasks","created":"2026-02-24","cited_by_count":0,"area":null},{"id":"2603.07521","title":"SketchGraphNet: A Memory-Efficient Hybrid Graph Transformer for Large-Scale Sketch Corpora Recognition","created":"2026-03-08","cited_by_count":0,"area":null},{"id":"2605.00951","title":"Graph Rewiring in GNNs to Mitigate Over-Squashing and Over-Smoothing: A Survey","created":"2026-05-01","cited_by_count":0,"area":null},{"id":"2605.06467","title":"No Triangulation Without Representation: Generalization in Topological Deep Learning","created":"2026-05-07","cited_by_count":0,"area":null},{"id":"2605.09457","title":"RAwR: Role-Aware Rewiring via Approximate Equitable Partition","created":"2026-05-10","cited_by_count":0,"area":null},{"id":"2605.15511","title":"OgBench: A Framework for Evaluating Graph Neural Networks on Omics Data","created":"2026-05-15","cited_by_count":0,"area":null},{"id":"2605.19021","title":"Deep Neural Sheaf Diffusion","created":"2026-05-18","cited_by_count":0,"area":null},{"id":"2608.16494","title":"Graph Machine Learning: An Opportunity for Power Systems","created":"2026-08-17","cited_by_count":0,"area":null},{"id":"2608.16894","title":"An Investigation of the NeurIPS and ICML 2025 Position Tracks","created":"2026-07-06","cited_by_count":0,"area":null},{"id":"2609.19210","title":"Not All Nodes Are Created Equal: Homophily-Aware Stratification for Stable GNN Evaluation","created":"2026-09-16","cited_by_count":0,"area":null},{"id":"2609.35364","title":"Do Temporal Link Predictors Need Learned Memory? A Smoothed-Count Baseline with a Handful of Parameters","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2609.36302","title":"The Universal Classifier for Graph Learning","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2610.15020","title":"PATTERN Can Be Solved from Memory: Generator-Aware Baselines for Synthetic Node Classification","created":"2026-10-10","cited_by_count":0,"area":null}],"next_cursor":null}