{"total":33,"rows":[{"id":"2304.05055","title":"A Comprehensive Survey on Deep Graph Representation Learning","created":"2023-04-11","cited_by_count":72,"area":null},{"id":"2505.10960","title":"Relational Graph Transformer","created":"2025-05-16","cited_by_count":34,"area":null},{"id":"2403.04780","title":"Graph-oriented Instruction Tuning of Large Language Models for Generic Graph Mining","created":"2024-03-02","cited_by_count":20,"area":null},{"id":"2310.14481","title":"Efficient Heterogeneous Graph Learning via Random Projection","created":"2023-10-23","cited_by_count":16,"area":null},{"id":"2305.19872","title":"Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials","created":"2023-05-31","cited_by_count":8,"area":null},{"id":"2401.03597","title":"Few-Shot Causal Representation Learning for Out-of-Distribution Generalization on Heterogeneous Graphs","created":"2024-01-07","cited_by_count":6,"area":null},{"id":"2307.01636","title":"HAGNN: Hybrid Aggregation for Heterogeneous Graph Neural Networks","created":"2023-07-04","cited_by_count":4,"area":null},{"id":"2307.08430","title":"Long-range Meta-path Search on Large-scale Heterogeneous Graphs","created":"2023-07-17","cited_by_count":4,"area":null},{"id":"2310.11664","title":"Hetero$^2$Net: Heterophily-aware Representation Learning on Heterogenerous Graphs","created":"2023-10-18","cited_by_count":4,"area":null},{"id":"2408.07331","title":"RSEA-MVGNN: Multi-View Graph Neural Network with Reliable Structural Enhancement and Aggregation","created":"2024-08-14","cited_by_count":4,"area":null},{"id":"2507.07405","title":"HGMP:Heterogeneous Graph Multi-Task Prompt Learning","created":"2025-07-10","cited_by_count":4,"area":null},{"id":"2511.04557","title":"Integrating Temporal and Structural Context in Graph Transformers for Relational Deep Learning","created":"2025-11-06","cited_by_count":4,"area":null},{"id":"2508.06034","title":"Adaptive Heterogeneous Graph Neural Networks: Bridging Heterophily and Heterogeneity","created":"2025-08-08","cited_by_count":3,"area":null},{"id":"2407.13158","title":"HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous Graph Representation Learning","created":"2024-07-18","cited_by_count":2,"area":null},{"id":"2504.15920","title":"ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion","created":"2025-04-22","cited_by_count":2,"area":null},{"id":"2506.17312","title":"Heterogeneous Temporal Hypergraph Neural Network","created":"2025-06-18","cited_by_count":2,"area":null},{"id":"2511.17923","title":"Towards Efficient LLM-aware Heterogeneous Graph Learning","created":"2025-11-22","cited_by_count":2,"area":null},{"id":"2311.07929","title":"Variational Graph Autoencoder for Heterogeneous Information Networks with Missing and Inaccurate Attributes","created":"2023-11-14","cited_by_count":1,"area":null},{"id":"2405.06522","title":"Heterogeneous Graph Neural Networks with Loss-decrease-aware Curriculum Learning","created":"2024-05-10","cited_by_count":1,"area":null},{"id":"2410.13373","title":"Addressing Graph Heterogeneity and Heterophily from A Spectral Perspective","created":"2024-10-17","cited_by_count":1,"area":null},{"id":"2511.11081","title":"Echoless Label-Based Pre-computation for Memory-Efficient Heterogeneous Graph Learning","created":"2025-11-14","cited_by_count":1,"area":null},{"id":"2601.02401","title":"Spiking Heterogeneous Graph Attention Networks","created":"2025-12-31","cited_by_count":1,"area":null},{"id":"2311.03275","title":"HetCAN: A Heterogeneous Graph Cascade Attention Network with Dual-Level Awareness","created":"2023-11-06","cited_by_count":0,"area":null},{"id":"2404.10443","title":"AGHINT: Attribute-Guided Representation Learning on Heterogeneous Information Networks with Transformer","created":"2024-04-16","cited_by_count":0,"area":null},{"id":"2411.18520","title":"Perturbation Ontology based Graph Attention Networks","created":"2024-11-27","cited_by_count":0,"area":null},{"id":"2504.08323","title":"Academic Network Representation via Prediction-Sampling Incorporated Tensor Factorization","created":"2025-04-11","cited_by_count":0,"area":null},{"id":"2510.05750","title":"Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective","created":"2025-10-07","cited_by_count":0,"area":null},{"id":"2510.09767","title":"HeSRN: Representation Learning On Heterogeneous Graphs via Slot-Aware Retentive Network","created":"2025-10-10","cited_by_count":0,"area":null},{"id":"2601.04367","title":"Graph Integrated Transformers for Community Detection in Social Networks","created":"2026-01-07","cited_by_count":0,"area":null},{"id":"2604.27356","title":"TypeBandit: Type-Level Context Allocation and Reweighting for Effective Attribute Completion in Heterogeneous Graph Neural Networks","created":"2026-04-30","cited_by_count":0,"area":null},{"id":"2605.04594","title":"HeterSEED: Semantics-Structure Decoupling for Heterogeneous Graph Learning under Heterophily","created":"2026-05-06","cited_by_count":0,"area":null},{"id":"2606.20916","title":"Physics-Guided Dual-Stream Heterogeneous Graph Neural Network for Predicting Full-Field Structural Response of Stiffened Panels","created":"2026-06-18","cited_by_count":0,"area":null},{"id":"2609.26855","title":"QUARTET: Quad-branch cross-Attention and Random-walk Traces for Enhancing Transformers on Relational Graphs","created":"2026-09-22","cited_by_count":0,"area":null}],"next_cursor":null}