{"total":91,"rows":[{"id":"2112.14936","title":"Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks","created":"2021-12-30","cited_by_count":176,"area":null},{"id":"2102.07810","title":"HDMI: High-order Deep Multiplex Infomax","created":"2021-02-15","cited_by_count":82,"area":null},{"id":"2105.06339","title":"Graph Learning based Recommender Systems: A Review","created":"2021-05-13","cited_by_count":59,"area":null},{"id":"2110.03987","title":"Knowledge-aware Coupled Graph Neural Network for Social Recommendation","created":"2021-10-08","cited_by_count":49,"area":null},{"id":"2110.03969","title":"Graph Meta Network for Multi-Behavior Recommendation","created":"2021-10-08","cited_by_count":38,"area":null},{"id":"2110.14863","title":"Graph Communal Contrastive Learning","created":"2021-10-28","cited_by_count":34,"area":null},{"id":"2105.11122","title":"Heterogeneous Graph Representation Learning with Relation Awareness","created":"2021-05-24","cited_by_count":31,"area":null},{"id":"2110.04002","title":"Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network","created":"2021-10-08","cited_by_count":28,"area":null},{"id":"2208.06129","title":"Multiplex Heterogeneous Graph Convolutional Network","created":"2022-08-12","cited_by_count":27,"area":null},{"id":"2108.09127","title":"TabGNN: Multiplex Graph Neural Network for Tabular Data Prediction","created":"2021-08-20","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":"2109.03560","title":"X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning","created":"2021-09-08","cited_by_count":19,"area":null},{"id":"2110.07582","title":"Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding","created":"2021-10-14","cited_by_count":19,"area":null},{"id":"2109.13527","title":"Concept-Aware Denoising Graph Neural Network for Micro-Video Recommendation","created":"2021-09-28","cited_by_count":18,"area":null},{"id":"2211.15158","title":"Heterogeneous Graph Learning for Multi-modal Medical Data Analysis","created":"2022-11-28","cited_by_count":16,"area":null},{"id":"2101.12457","title":"RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation","created":"2021-01-29","cited_by_count":15,"area":null},{"id":"2102.06371","title":"Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks","created":"2021-02-12","cited_by_count":13,"area":null},{"id":"2102.07186","title":"Relation-aware Graph Attention Model With Adaptive Self-adversarial Training","created":"2021-02-14","cited_by_count":12,"area":null},{"id":"2103.00959","title":"CogDL: A Comprehensive Library for Graph Deep Learning","created":"2021-03-01","cited_by_count":12,"area":null},{"id":"2209.09732","title":"Neural Graph Databases","created":"2022-09-20","cited_by_count":11,"area":null},{"id":"2305.18238","title":"Multi-behavior Self-supervised Learning for Recommendation","created":"2023-05-22","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":"2104.01488","title":"Medical Entity Disambiguation Using Graph Neural Networks","created":"2021-04-03","cited_by_count":10,"area":null},{"id":"2209.11354","title":"Convolutional Learning on Multigraphs","created":"2022-09-23","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":"2109.09587","title":"Recommender systems based on graph embedding techniques: A comprehensive review","created":"2021-09-20","cited_by_count":8,"area":null},{"id":"2305.14074","title":"Message Intercommunication for Inductive Relation Reasoning","created":"2023-05-23","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":"2308.00535","title":"Graph Contrastive Learning with Generative Adversarial Network","created":"2023-08-01","cited_by_count":8,"area":null},{"id":"2108.13650","title":"Heterogeneous Graph Neural Network with Multi-view Representation Learning","created":"2021-08-31","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":"2205.10666","title":"MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest","created":"2022-05-21","cited_by_count":6,"area":null},{"id":"2206.02789","title":"Efficient and Accurate Physics-aware Multiplex Graph Neural Networks for 3D Small Molecules and Macromolecule Complexes","created":"2022-06-06","cited_by_count":6,"area":null},{"id":"2211.08378","title":"Anomaly Detection in Multiplex Dynamic Networks: from Blockchain Security to Brain Disease Prediction","created":"2022-11-15","cited_by_count":6,"area":null},{"id":"2305.18622","title":"Instant Representation Learning for Recommendation over Large Dynamic Graphs","created":"2023-05-22","cited_by_count":6,"area":null},{"id":"2109.11053","title":"Automated Feature-Topic Pairing: Aligning Semantic and Embedding Spaces in Spatial Representation Learning","created":"2021-09-22","cited_by_count":5,"area":null},{"id":"2202.09021","title":"Effective Urban Region Representation Learning Using Heterogeneous Urban Graph Attention Network (HUGAT)","created":"2022-02-18","cited_by_count":5,"area":null},{"id":"2203.02656","title":"Deep Partial Multiplex Network Embedding","created":"2022-03-05","cited_by_count":5,"area":null},{"id":"2210.16272","title":"Learning with Multigraph Convolutional Filters","created":"2022-10-28","cited_by_count":5,"area":null},{"id":"2308.01606","title":"Unsupervised Multiplex Graph Learning with Complementary and Consistent Information","created":"2023-08-03","cited_by_count":5,"area":null},{"id":"2106.09289","title":"MHNF: Multi-hop Heterogeneous Neighborhood information Fusion graph representation learning","created":"2021-06-17","cited_by_count":4,"area":null},{"id":"2110.02059","title":"Multi-Relational Graph based Heterogeneous Multi-Task Learning in Community Question Answering","created":"2021-09-04","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":"2110.05820","title":"CoarSAS2hvec: Heterogeneous Information Network Embedding with Balanced Network Sampling","created":"2021-10-12","cited_by_count":3,"area":null},{"id":"2111.10772","title":"Network representation learning: A macro and micro view","created":"2021-11-21","cited_by_count":3,"area":null},{"id":"2201.05861","title":"Deep Unified Representation for Heterogeneous Recommendation","created":"2022-01-15","cited_by_count":3,"area":null},{"id":"2208.02068","title":"HybridGNN: Learning Hybrid Representation in Multiplex Heterogeneous Networks","created":"2022-08-03","cited_by_count":3,"area":null},{"id":"2309.04977","title":"RGAT: A Deeper Look into Syntactic Dependency Information for Coreference Resolution","created":"2023-09-10","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":"2104.01711","title":"Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning","created":"2021-04-04","cited_by_count":2,"area":null},{"id":"2211.14582","title":"Demystifying Bitcoin Address Behavior via Graph Neural Networks","created":"2022-11-26","cited_by_count":2,"area":null},{"id":"2305.03474","title":"Zoo Guide to Network Embedding","created":"2023-05-05","cited_by_count":2,"area":null},{"id":"2312.16834","title":"Hierarchical Aggregations for High-Dimensional Multiplex Graph Embedding","created":"2023-12-28","cited_by_count":2,"area":null},{"id":"2404.00816","title":"HeteroMILE: a Multi-Level Graph Representation Learning Framework for Heterogeneous Graphs","created":"2024-03-31","cited_by_count":2,"area":null},{"id":"2501.17374","title":"A Geometric Perspective for High-Dimensional Multiplex Graphs","created":"2025-01-29","cited_by_count":2,"area":null},{"id":"2507.22268","title":"Multi-modal Relational Item Representation Learning for Inferring Substitutable and Complementary Items","created":"2025-07-29","cited_by_count":2,"area":null},{"id":"2103.06474","title":"Metapaths guided Neighbors aggregated Network for?Heterogeneous Graph Reasoning","created":"2021-03-11","cited_by_count":1,"area":null},{"id":"2104.12950","title":"Document Structure aware Relational Graph Convolutional Networks for Ontology Population","created":"2021-04-27","cited_by_count":1,"area":null},{"id":"2112.01035","title":"Graph4Rec: A Universal Toolkit with Graph Neural Networks for Recommender Systems","created":"2021-12-02","cited_by_count":1,"area":null},{"id":"2310.03032","title":"Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution","created":"2023-09-24","cited_by_count":1,"area":null},{"id":"2405.08031","title":"HGTDR: Advancing Drug Repurposing with Heterogeneous Graph Transformers","created":"2024-05-12","cited_by_count":1,"area":null},{"id":"2406.14635","title":"Harvesting Efficient On-Demand Order Pooling from Skilled Couriers: Enhancing Graph Representation Learning for Refining Real-time Many-to-One Assignments","created":"2024-06-20","cited_by_count":1,"area":null},{"id":"2605.08679","title":"Attention-based graph neural networks: a survey","created":"2026-05-09","cited_by_count":1,"area":null},{"id":"2108.02572","title":"SINGA-Easy: An Easy-to-Use Framework for MultiModal Analysis","created":"2021-08-03","cited_by_count":0,"area":null},{"id":"2108.02725","title":"VisualTextRank: Unsupervised Graph-based Content Extraction for Automating Ad Text to Image Search","created":"2021-08-05","cited_by_count":0,"area":null},{"id":"2108.08296","title":"Deep Contrastive Multiview Network Embedding","created":"2021-08-16","cited_by_count":0,"area":null},{"id":"2109.05778","title":"Text is NOT Enough: Integrating Visual Impressions into Open-domain Dialogue Generation","created":"2021-09-13","cited_by_count":0,"area":null},{"id":"2109.09349","title":"Grouping Search Results with Product Graphs in E-commerce Platforms","created":"2021-09-20","cited_by_count":0,"area":null},{"id":"2201.02757","title":"DeHIN: A Decentralized Framework for Embedding Large-scale Heterogeneous Information Networks","created":"2022-01-08","cited_by_count":0,"area":null},{"id":"2202.02830","title":"Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors","created":"2022-02-06","cited_by_count":0,"area":null},{"id":"2203.01903","title":"Pay Attention to Relations: Multi-embeddings for Attributed Multiplex Networks","created":"2022-03-03","cited_by_count":0,"area":null},{"id":"2203.11011","title":"Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks","created":"2022-03-08","cited_by_count":0,"area":null},{"id":"2205.08335","title":"Explanation-Guided Fairness Testing through Genetic Algorithm","created":"2022-05-16","cited_by_count":0,"area":null},{"id":"2206.13223","title":"MultiSAGE: a multiplex embedding algorithm for inter-layer link prediction","created":"2022-06-24","cited_by_count":0,"area":null},{"id":"2207.14648","title":"Using Graph Neural Networks for Program Termination","created":"2022-07-28","cited_by_count":0,"area":null},{"id":"2303.09664","title":"Tribe or Not? Critical Inspection of Group Differences Using TribalGram","created":"2023-03-16","cited_by_count":0,"area":null},{"id":"2304.05474","title":"Audience Expansion for Multi-show Release Based on an Edge-prompted Heterogeneous Graph Network","created":"2023-04-08","cited_by_count":0,"area":null},{"id":"2305.19502","title":"Graph Entropy Minimization for Semi-supervised Node Classification","created":"2023-05-31","cited_by_count":0,"area":null},{"id":"2403.19246","title":"MPXGAT: An Attention based Deep Learning Model for Multiplex Graphs Embedding","created":"2024-03-28","cited_by_count":0,"area":null},{"id":"2406.06617","title":"Collaborative Team Recognition: A Core Plus Extension Structure","created":"2024-06-07","cited_by_count":0,"area":null},{"id":"2406.10367","title":"Disentangled Hyperbolic Representation Learning for Heterogeneous Graphs","created":"2024-06-14","cited_by_count":0,"area":null},{"id":"2408.01964","title":"Top K Enhanced Reinforcement Learning Attacks on Heterogeneous Graph Node Classification","created":"2024-08-04","cited_by_count":0,"area":"deeprl"},{"id":"2409.07627","title":"Leveraging User-Generated Reviews for Recommender Systems with Dynamic Headers","created":"2024-09-11","cited_by_count":0,"area":null},{"id":"2411.00612","title":"How to Bridge Spatial and Temporal Heterogeneity in Link Prediction? A Contrastive Method","created":"2024-11-01","cited_by_count":0,"area":null},{"id":"2411.01947","title":"HACD: Harnessing Attribute Semantics and Mesoscopic Structure for Community Detection","created":"2024-11-04","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":"2502.17489","title":"Using Graph Convolutional Networks to Address fMRI Small Data Problems","created":"2025-02-19","cited_by_count":0,"area":null},{"id":"2503.13911","title":"Incorporating Attributes and Multi-Scale Structures for Heterogeneous Graph Contrastive Learning","created":"2025-03-18","cited_by_count":0,"area":null},{"id":"2507.13001","title":"SMART: Relation-Aware Learning of Geometric Representations for Knowledge Graphs","created":"2025-07-17","cited_by_count":0,"area":null},{"id":"2605.12699","title":"Modeling Heterophily in Multiplex Graphs: An Adaptive Approach for Node Classification","created":"2026-05-12","cited_by_count":0,"area":null}],"next_cursor":null}