{"total":166,"rows":[{"id":"2207.10128","title":"Towards Better Evaluation for Dynamic Link Prediction","created":"2022-07-20","cited_by_count":122,"area":null},{"id":"2403.01121","title":"OpenGraph: Towards Open Graph Foundation Models","created":"2024-03-02","cited_by_count":78,"area":null},{"id":"2207.02547","title":"Simple and Efficient Heterogeneous Graph Neural Network","created":"2022-07-06","cited_by_count":71,"area":null},{"id":"2312.01878","title":"HGPROMPT: Bridging Homogeneous and Heterogeneous Graphs for Few-shot Prompt Learning","created":"2023-12-04","cited_by_count":45,"area":null},{"id":"2402.16024","title":"HiGPT: Heterogeneous Graph Language Model","created":"2024-02-25","cited_by_count":45,"area":null},{"id":"2206.04564","title":"TwiBot-22: Towards Graph-Based Twitter Bot Detection","created":"2022-06-09","cited_by_count":44,"area":null},{"id":"2210.05062","title":"Relational Attention: Generalizing Transformers for Graph-Structured Tasks","created":"2022-10-11","cited_by_count":41,"area":null},{"id":"2402.13593","title":"Knowledge Graph Enhanced Large Language Model Editing","created":"2024-02-21","cited_by_count":40,"area":null},{"id":"2302.11329","title":"HINormer: Representation Learning On Heterogeneous Information Networks with Graph Transformer","created":"2023-02-22","cited_by_count":35,"area":null},{"id":"2310.15318","title":"HetGPT: Harnessing the Power of Prompt Tuning in Pre-Trained Heterogeneous Graph Neural Networks","created":"2023-10-23","cited_by_count":33,"area":null},{"id":"2502.09263","title":"Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence","created":"2025-02-13","cited_by_count":26,"area":null},{"id":"2205.10282","title":"Heterformer: Transformer-based Deep Node Representation Learning on Heterogeneous Text-Rich Networks","created":"2022-05-20","cited_by_count":24,"area":null},{"id":"2206.09144","title":"Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs","created":"2022-06-18","cited_by_count":23,"area":null},{"id":"2302.11050","title":"Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks","created":"2023-02-21","cited_by_count":23,"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":"2302.06299","title":"Homophily-oriented Heterogeneous Graph Rewiring","created":"2023-02-13","cited_by_count":18,"area":null},{"id":"2306.17408","title":"LMBot: Distilling Graph Knowledge into Language Model for Graph-less Deployment in Twitter Bot Detection","created":"2023-06-30","cited_by_count":17,"area":null},{"id":"2301.01123","title":"MGTAB: A Multi-Relational Graph-Based Twitter Account Detection Benchmark","created":"2023-01-03","cited_by_count":16,"area":null},{"id":"2310.14481","title":"Efficient Heterogeneous Graph Learning via Random Projection","created":"2023-10-23","cited_by_count":16,"area":null},{"id":"2408.16288","title":"OpenFGL: A Comprehensive Benchmark for Federated Graph Learning","created":"2024-08-29","cited_by_count":16,"area":null},{"id":"2205.13084","title":"BRIGHT -- Graph Neural Networks in Real-Time Fraud Detection","created":"2022-05-25","cited_by_count":15,"area":null},{"id":"2308.13821","title":"A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions","created":"2023-08-26","cited_by_count":15,"area":null},{"id":"2310.12580","title":"Pretraining Language Models with Text-Attributed Heterogeneous Graphs","created":"2023-10-19","cited_by_count":15,"area":null},{"id":"2403.08820","title":"Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns","created":"2024-02-21","cited_by_count":14,"area":null},{"id":"2207.09980","title":"ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective","created":"2022-07-20","cited_by_count":12,"area":null},{"id":"2407.00615","title":"GC-Bench: An Open and Unified Benchmark for Graph Condensation","created":"2024-06-30","cited_by_count":12,"area":null},{"id":"2209.09732","title":"Neural Graph Databases","created":"2022-09-20","cited_by_count":11,"area":null},{"id":"2404.18209","title":"4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs","created":"2024-04-28","cited_by_count":11,"area":null},{"id":"2405.01927","title":"SlotGAT: Slot-based Message Passing for Heterogeneous Graph Neural Network","created":"2024-05-03","cited_by_count":11,"area":null},{"id":"2210.04442","title":"DPAR: Decoupled Graph Neural Networks with Node-Level Differential Privacy","created":"2022-10-10","cited_by_count":10,"area":null},{"id":"2309.17113","title":"Meta-Path Learning for Multi-relational Graph Neural Networks","created":"2023-09-29","cited_by_count":10,"area":null},{"id":"2409.08036","title":"Heterogeneous Sheaf Neural Networks","created":"2024-09-12","cited_by_count":10,"area":null},{"id":"2206.11081","title":"Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks","created":"2022-06-22","cited_by_count":9,"area":null},{"id":"2302.14061","title":"Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks","created":"2023-02-27","cited_by_count":9,"area":null},{"id":"2202.09177","title":"Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network","created":"2022-02-18","cited_by_count":8,"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":"2209.11414","title":"Enabling Homogeneous GNNs to Handle Heterogeneous Graphs via Relation Embedding","created":"2022-09-23","cited_by_count":7,"area":null},{"id":"2301.03049","title":"AutoAC: Towards Automated Attribute Completion for Heterogeneous Graph Neural Network","created":"2023-01-08","cited_by_count":7,"area":null},{"id":"2412.00521","title":"A Self-Explainable Heterogeneous GNN for Relational Deep Learning","created":"2024-11-30","cited_by_count":7,"area":null},{"id":"2412.00742","title":"Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective","created":"2024-12-01","cited_by_count":7,"area":null},{"id":"2205.00256","title":"Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning","created":"2022-04-30","cited_by_count":6,"area":null},{"id":"2301.05860","title":"State of the Art and Potentialities of Graph-level Learning","created":"2023-01-14","cited_by_count":6,"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":"2401.09945","title":"HGAttack: Transferable Heterogeneous Graph Adversarial Attack","created":"2024-01-18","cited_by_count":6,"area":null},{"id":"2407.10916","title":"When Heterophily Meets Heterogeneity: Challenges and a New Large-Scale Graph Benchmark","created":"2024-07-15","cited_by_count":6,"area":null},{"id":"2412.03930","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","created":"2024-12-05","cited_by_count":6,"area":null},{"id":"2204.10614","title":"Modelling graph dynamics in fraud detection with \"Attention\"","created":"2022-04-22","cited_by_count":5,"area":null},{"id":"2302.10432","title":"Link Prediction on Latent Heterogeneous Graphs","created":"2023-02-21","cited_by_count":5,"area":null},{"id":"2305.18885","title":"Criteria Tell You More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria Recommendation","created":"2023-05-30","cited_by_count":5,"area":null},{"id":"2312.15237","title":"Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network","created":"2023-12-23","cited_by_count":5,"area":null},{"id":"2403.05752","title":"Task-Oriented GNNs Training on Large Knowledge Graphs for Accurate and Efficient Modeling","created":"2024-03-09","cited_by_count":5,"area":null},{"id":"2404.09456","title":"Hyperbolic Heterogeneous Graph Attention Networks","created":"2024-04-15","cited_by_count":5,"area":null},{"id":"2412.07273","title":"Temporal-Aware Evaluation and Learning for Temporal Graph Neural Networks","created":"2024-12-10","cited_by_count":5,"area":null},{"id":"2412.08937","title":"Multi-Scale Heterogeneous Text-Attributed Graph Datasets From Diverse Domains","created":"2024-12-12","cited_by_count":5,"area":null},{"id":"2207.07935","title":"Visually-aware Acoustic Event Detection using Heterogeneous Graphs","created":"2022-07-16","cited_by_count":4,"area":null},{"id":"2211.12792","title":"MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks","created":"2022-11-23","cited_by_count":4,"area":null},{"id":"2212.08966","title":"Graph Learning and Its Advancements on Large Language Models: A Holistic Survey","created":"2022-12-17","cited_by_count":4,"area":null},{"id":"2304.11411","title":"Detecting Spoilers in Movie Reviews with External Movie Knowledge and User Networks","created":"2023-04-22","cited_by_count":4,"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":"2507.07405","title":"HGMP:Heterogeneous Graph Multi-Task Prompt Learning","created":"2025-07-10","cited_by_count":4,"area":null},{"id":"2205.12076","title":"Ensemble Multi-Relational Graph Neural Networks","created":"2022-05-24","cited_by_count":3,"area":null},{"id":"2302.10362","title":"Heterogeneous Social Event Detection via Hyperbolic Graph Representations","created":"2023-02-20","cited_by_count":3,"area":null},{"id":"2303.08318","title":"Micro-video Tagging via Jointly Modeling Social Influence and Tag Relation","created":"2023-03-15","cited_by_count":3,"area":null},{"id":"2305.10771","title":"Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph","created":"2023-05-18","cited_by_count":3,"area":null},{"id":"2308.05275","title":"Cross-heterogeneity Graph Few-shot Learning","created":"2023-08-10","cited_by_count":3,"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":"2508.08071","title":"C-MAG: Cascade Multimodal Attributed Graphs for Supply Chain Link Prediction","created":"2025-08-11","cited_by_count":3,"area":null},{"id":"2603.10033","title":"Evaluating Progress in Graph Foundation Models: A Comprehensive Benchmark and New Insights","created":"2026-02-28","cited_by_count":3,"area":null},{"id":"2606.06397","title":"The Post-GCN Decade Revisited: Curvature-Stratified Evaluation of Relational Learning","created":"2026-06-04","cited_by_count":3,"area":null},{"id":"2210.07765","title":"Activity-aware Human Mobility Prediction with Hierarchical Graph Attention Recurrent Network","created":"2022-10-14","cited_by_count":2,"area":null},{"id":"2301.05931","title":"Drug Synergistic Combinations Predictions via Large-Scale Pre-Training and Graph Structure Learning","created":"2023-01-14","cited_by_count":2,"area":null},{"id":"2303.02665","title":"Heterogeneous Graph Learning for Acoustic Event Classification","created":"2023-03-05","cited_by_count":2,"area":null},{"id":"2312.11553","title":"SeGA: Preference-Aware Self-Contrastive Learning with Prompts for Anomalous User Detection on Twitter","created":"2023-12-17","cited_by_count":2,"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":"2407.20648","title":"Leveraging Multi-facet Paths for Heterogeneous Graph Representation Learning","created":"2024-07-30","cited_by_count":2,"area":null},{"id":"2411.11283","title":"Multi-Hyperbolic Space-based Heterogeneous Graph Attention Network","created":"2024-11-18","cited_by_count":2,"area":null},{"id":"2411.14035","title":"Teaching MLPs to Master Heterogeneous Graph-Structured Knowledge for Efficient and Accurate Inference","created":"2024-11-21","cited_by_count":2,"area":null},{"id":"2503.08760","title":"Heterogeneous Graph Structure Learning through the Lens of Data-generating Processes","created":"2025-03-11","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":"2512.23745","title":"A Comprehensive Study of Deep Learning Model Fixing Approaches","created":"2025-12-26","cited_by_count":2,"area":null},{"id":"2208.08200","title":"AHEAD: A Triple Attention Based Heterogeneous Graph Anomaly Detection Approach","created":"2022-08-17","cited_by_count":1,"area":null},{"id":"2304.11574","title":"Meta-multigraph Search: Rethinking Meta-structure on Heterogeneous Information Networks","created":"2023-04-23","cited_by_count":1,"area":null},{"id":"2305.02691","title":"PGB: A PubMed Graph Benchmark for Heterogeneous Network Representation Learning","created":"2023-05-04","cited_by_count":1,"area":null},{"id":"2305.09729","title":"FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks","created":"2023-05-16","cited_by_count":1,"area":null},{"id":"2309.13092","title":"Prototype-Enhanced Hypergraph Learning for Heterogeneous Information Networks","created":"2023-09-22","cited_by_count":1,"area":null},{"id":"2310.11102","title":"Refining Latent Representations: A Generative SSL Approach for Heterogeneous Graph Learning","created":"2023-10-17","cited_by_count":1,"area":null},{"id":"2310.16401","title":"Graph Neural Networks with a Distribution of Parametrized Graphs","created":"2023-10-25","cited_by_count":1,"area":null},{"id":"2312.05757","title":"Towards Human-like Perception: Learning Structural Causal Model in Heterogeneous Graph","created":"2023-12-10","cited_by_count":1,"area":null},{"id":"2402.13496","title":"Heterogeneous Graph Neural Network on Semantic Tree","created":"2024-02-21","cited_by_count":1,"area":null},{"id":"2404.03164","title":"KG4RecEval: Does Knowledge Graph Really Matter for Recommender Systems?","created":"2024-04-04","cited_by_count":1,"area":null},{"id":"2407.11790","title":"Characterizing and Understanding HGNN Training on GPUs","created":"2024-07-16","cited_by_count":1,"area":null},{"id":"2407.18735","title":"AutoRDF2GML: Facilitating RDF Integration in Graph Machine Learning","created":"2024-07-26","cited_by_count":1,"area":null},{"id":"2410.10241","title":"Revisiting Graph Autoencoders as Implicit Contrastive Learners","created":"2024-10-14","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":"2410.22089","title":"Hierarchical Structure Sharing Empowers Multi-task Heterogeneous GNNs for Customer Expansion","created":"2024-10-29","cited_by_count":1,"area":null},{"id":"2503.09626","title":"Certainly Bot Or Not? Trustworthy Social Bot Detection via Robust Multi-Modal Neural Processes","created":"2025-03-11","cited_by_count":1,"area":null},{"id":"2505.15842","title":"AH-UGC: Adaptive and Heterogeneous-Universal Graph Coarsening","created":"2025-05-18","cited_by_count":1,"area":null},{"id":"2505.17458","title":"HERO: Preserving Structure and Semantics in Heterogeneous Continual Graph Learning","created":"2025-05-23","cited_by_count":1,"area":null}],"next_cursor":"100"}