{"list":"other","total":110,"rows":[{"id":"1609.02907","title":"Semi-Supervised Classification with Graph Convolutional Networks","created":"2016-09-09","cited_by_count":11361},{"id":"1710.10903","title":"Graph Attention Networks","created":"2017-10-30","cited_by_count":8923},{"id":"1602.05629","title":"Communication-Efficient Learning of Deep Networks from Decentralized Data","created":"2016-02-17","cited_by_count":7669},{"id":"1706.02216","title":"Inductive Representation Learning on Large Graphs","created":"2017-06-07","cited_by_count":6320},{"id":"1901.00596","title":"A Comprehensive Survey on Graph Neural Networks","created":"2019-01-03","cited_by_count":2919},{"id":"1812.08434","title":"Graph Neural Networks: A Review of Methods and Applications","created":"2018-12-20","cited_by_count":1576},{"id":"1711.05769","title":"PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning","created":"2017-11-15","cited_by_count":898},{"id":"1802.09691","title":"Link Prediction Based on Graph Neural Networks","created":"2018-02-27","cited_by_count":832},{"id":"2002.00388","title":"A Survey on Knowledge Graphs: Representation, Acquisition and Applications","created":"2020-02-02","cited_by_count":643},{"id":"2007.14390","title":"Flower: A Friendly Federated Learning Research Framework","created":"2020-07-28","cited_by_count":455},{"id":"2002.01680","title":"MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding","created":"2020-02-05","cited_by_count":304},{"id":"2310.00149","title":"One for All: Towards Training One Graph Model for All Classification Tasks","created":"2023-09-29","cited_by_count":243},{"id":"2310.13023","title":"GraphGPT: Graph Instruction Tuning for Large Language Models","created":"2023-10-19","cited_by_count":226},{"id":"2310.15950","title":"Representation Learning with Large Language Models for Recommendation","created":"2023-10-24","cited_by_count":155},{"id":"2309.00363","title":"FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning","created":"2023-09-01","cited_by_count":149},{"id":"2305.19523","title":"Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning","created":"2023-05-31","cited_by_count":133},{"id":"2106.13430","title":"Subgraph Federated Learning with Missing Neighbor Generation","created":"2021-06-25","cited_by_count":132},{"id":"2106.13423","title":"Federated Graph Classification over Non-IID Graphs","created":"2021-06-25","cited_by_count":114},{"id":"2310.05845","title":"GraphLLM: Boosting Graph Reasoning Ability of Large Language Model","created":"2023-10-09","cited_by_count":107},{"id":"2102.04925","title":"FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation","created":"2021-02-09","cited_by_count":98},{"id":"2012.06002","title":"Overcoming Catastrophic Forgetting in Graph Neural Networks","created":"2020-12-10","cited_by_count":95},{"id":"1904.13107","title":"Graph Convolutional Networks with EigenPooling","created":"2019-04-30","cited_by_count":94},{"id":"2308.06522","title":"SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models","created":"2023-08-12","cited_by_count":93},{"id":"2211.13009","title":"Federated Learning on Non-IID Graphs via Structural Knowledge Sharing","created":"2022-11-23","cited_by_count":88},{"id":"2311.16208","title":"InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular Assistant in Drug Discovery","created":"2023-11-27","cited_by_count":86},{"id":"1901.11173","title":"Peer-to-peer Federated Learning on Graphs","created":"2019-01-31","cited_by_count":85},{"id":"2403.01121","title":"OpenGraph: Towards Open Graph Foundation Models","created":"2024-03-02","cited_by_count":78},{"id":"2406.17706","title":"FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model","created":"2024-06-25","cited_by_count":74},{"id":"2106.05223","title":"Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling","created":"2021-06-09","cited_by_count":69},{"id":"2402.13630","title":"UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs","created":"2024-02-21","cited_by_count":66},{"id":"2310.15080","title":"Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization","created":"2023-10-23","cited_by_count":65},{"id":"2006.05535","title":"Locally Private Graph Neural Networks","created":"2020-06-09","cited_by_count":64},{"id":"2012.04187","title":"GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs","created":"2020-12-08","cited_by_count":64},{"id":"2310.10049","title":"FATE-LLM: A Industrial Grade Federated Learning Framework for Large Language Models","created":"2023-10-16","cited_by_count":63},{"id":"2005.11903","title":"Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification","created":"2020-05-25","cited_by_count":61},{"id":"2408.14512","title":"LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings","created":"2024-08-25","cited_by_count":61},{"id":"2111.10778","title":"Federated Social Recommendation with Graph Neural Network","created":"2021-11-21","cited_by_count":56},{"id":"2206.10206","title":"Personalized Subgraph Federated Learning","created":"2022-06-21","cited_by_count":54},{"id":"2209.03299","title":"Multimodal learning with graphs","created":"2022-09-07","cited_by_count":54},{"id":"2202.07256","title":"Federated Graph Neural Networks: Overview, Techniques and Challenges","created":"2022-02-15","cited_by_count":52},{"id":"2206.09140","title":"Certified Graph Unlearning","created":"2022-06-18","cited_by_count":46},{"id":"2402.16024","title":"HiGPT: Heterogeneous Graph Language Model","created":"2024-02-25","cited_by_count":45},{"id":"2104.14628","title":"Cluster-driven Graph Federated Learning over Multiple Domains","created":"2021-04-29","cited_by_count":44},{"id":"2401.11755","title":"FedGTA: Topology-aware Averaging for Federated Graph Learning","created":"2024-01-22","cited_by_count":44},{"id":"2302.02069","title":"Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning","created":"2023-02-04","cited_by_count":40},{"id":"2105.11099","title":"Federated Graph Learning -- A Position Paper","created":"2021-05-24","cited_by_count":35},{"id":"2105.03170","title":"FedGL: Federated Graph Learning Framework with Global Self-Supervision","created":"2021-05-07","cited_by_count":34},{"id":"2111.01370","title":"FedGraph: Federated Graph Learning with Intelligent Sampling","created":"2021-11-02","cited_by_count":34},{"id":"1909.12946","title":"Towards Federated Graph Learning for Collaborative Financial Crimes Detection","created":"2019-09-19","cited_by_count":33},{"id":"2002.12507","title":"Decentralized Federated Learning via SGD over Wireless D2D Networks","created":"2020-02-28","cited_by_count":33},{"id":"2403.19852","title":"A Review of Graph Neural Networks in Epidemic Modeling","created":"2024-03-28","cited_by_count":31},{"id":"2106.04405","title":"Federated Neural Collaborative Filtering","created":"2021-06-02","cited_by_count":30},{"id":"2405.10853","title":"The Future of Large Language Model Pre-training is Federated","created":"2024-05-17","cited_by_count":30},{"id":"2406.18937","title":"Federated Graph Semantic and Structural Learning","created":"2024-06-27","cited_by_count":30},{"id":"2203.00829","title":"Personalized Federated Learning With Graph","created":"2022-03-02","cited_by_count":29},{"id":"2401.11760","title":"Towards Effective and General Graph Unlearning via Mutual Evolution","created":"2024-01-22","cited_by_count":29},{"id":"2102.07148","title":"A New Look and Convergence Rate of Federated Multi-Task Learning with Laplacian Regularization","created":"2021-02-14","cited_by_count":27},{"id":"2404.14061","title":"FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning","created":"2024-04-22","cited_by_count":27},{"id":"2112.10166","title":"FedNI: Federated Graph Learning with Network Inpainting for Population-Based Disease Prediction","created":"2021-12-19","cited_by_count":26},{"id":"2208.09375","title":"Personalized Federated Recommendation via Joint Representation Learning, User Clustering, and Model Adaptation","created":"2022-08-19","cited_by_count":25},{"id":"2401.11750","title":"AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity","created":"2024-01-22","cited_by_count":25},{"id":"2201.12433","title":"FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks","created":"2022-01-28","cited_by_count":24},{"id":"2309.02848","title":"Prompt-based Node Feature Extractor for Few-shot Learning on Text-Attributed Graphs","created":"2023-09-06","cited_by_count":23},{"id":"2302.10900","title":"Semi-decentralized Federated Ego Graph Learning for Recommendation","created":"2023-02-10","cited_by_count":22},{"id":"2310.04987","title":"Data-centric Graph Learning: A Survey","created":"2023-10-08","cited_by_count":22},{"id":"2307.12810","title":"HeteFedRec: Federated Recommender Systems with Model Heterogeneity","created":"2023-07-24","cited_by_count":20},{"id":"2109.07258","title":"Federated Learning of Molecular Properties with Graph Neural Networks in a Heterogeneous Setting","created":"2021-09-15","cited_by_count":19},{"id":"2201.08459","title":"Federated Learning with Heterogeneous Architectures using Graph HyperNetworks","created":"2022-01-20","cited_by_count":19},{"id":"2310.11730","title":"Federated Heterogeneous Graph Neural Network for Privacy-preserving Recommendation","created":"2023-10-18","cited_by_count":19},{"id":"2305.07866","title":"GPFedRec: Graph-guided Personalization for Federated Recommendation","created":"2023-05-13","cited_by_count":18},{"id":"2303.05786","title":"Vertical Federated Graph Neural Network for Recommender System","created":"2023-03-10","cited_by_count":17},{"id":"2410.20105","title":"FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference","created":"2024-10-26","cited_by_count":16},{"id":"2205.04692","title":"Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting","created":"2022-05-10","cited_by_count":15},{"id":"2407.08935","title":"Distributed Backdoor Attacks on Federated Graph Learning and Certified Defenses","created":"2024-07-12","cited_by_count":15},{"id":"2111.06750","title":"STFL: A Temporal-Spatial Federated Learning Framework for Graph Neural Networks","created":"2021-11-12","cited_by_count":14},{"id":"2401.04336","title":"Deep Efficient Private Neighbor Generation for Subgraph Federated Learning","created":"2024-01-09","cited_by_count":14},{"id":"2408.09393","title":"Federated Graph Learning with Structure Proxy Alignment","created":"2024-08-18","cited_by_count":14},{"id":"2505.12684","title":"Towards Effective Federated Graph Foundation Model via Mitigating Knowledge Entanglement","created":"2025-05-19","cited_by_count":14},{"id":"2208.13685","title":"FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs","created":"2022-08-29","cited_by_count":12},{"id":"2301.11099","title":"Federated Learning over Coupled Graphs","created":"2023-01-26","cited_by_count":12},{"id":"2305.06622","title":"PerFedRec++: Enhancing Personalized Federated Recommendation with Self-Supervised Pre-Training","created":"2023-05-11","cited_by_count":12},{"id":"2412.11402","title":"Modeling Inter-Intra Heterogeneity for Graph Federated Learning","created":"2024-12-16","cited_by_count":12},{"id":"2112.11134","title":"FedPOIRec: Privacy Preserving Federated POI Recommendation with Social Influence","created":"2021-12-21","cited_by_count":11},{"id":"2401.17630","title":"Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation","created":"2024-01-31","cited_by_count":11},{"id":"2410.00049","title":"Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph","created":"2024-09-28","cited_by_count":10},{"id":"2205.15896","title":"FedWalk: Communication Efficient Federated Unsupervised Node Embedding with Differential Privacy","created":"2022-05-31","cited_by_count":9},{"id":"2410.08249","title":"Federated Graph Learning for Cross-Domain Recommendation","created":"2024-10-10","cited_by_count":9},{"id":"2405.03911","title":"Federated Graph Condensation with Information Bottleneck Principles","created":"2024-05-07","cited_by_count":8},{"id":"2011.11369","title":"Improving Federated Relational Data Modeling via Basis Alignment and Weight Penalty","created":"2020-11-23","cited_by_count":6},{"id":"2303.00492","title":"Lumos: Heterogeneity-aware Federated Graph Learning over Decentralized Devices","created":"2023-03-01","cited_by_count":6},{"id":"2503.03995","title":"Subgraph Federated Learning for Local Generalization","created":"2025-03-06","cited_by_count":6},{"id":"2410.17533","title":"FedGMark: Certifiably Robust Watermarking for Federated Graph Learning","created":"2024-10-23","cited_by_count":5},{"id":"2411.18919","title":"Federated Continual Graph Learning","created":"2024-11-28","cited_by_count":5},{"id":"2301.12885","title":"SplitGNN: Splitting GNN for Node Classification with Heterogeneous Attention","created":"2023-01-27","cited_by_count":4},{"id":"2405.00742","title":"Federated Graph Learning for EV Charging Demand Forecasting with Personalization Against Cyberattacks","created":"2024-04-30","cited_by_count":4},{"id":"2406.10616","title":"HiFGL: A Hierarchical Framework for Cross-silo Cross-device Federated Graph Learning","created":"2024-06-15","cited_by_count":4},{"id":"2211.06812","title":"FedRule: Federated Rule Recommendation System with Graph Neural Networks","created":"2022-11-13","cited_by_count":3},{"id":"2303.09531","title":"GLASU: A Communication-Efficient Algorithm for Federated Learning with Vertically Distributed Graph Data","created":"2023-03-16","cited_by_count":3},{"id":"2411.11304","title":"Personalized One-shot Federated Graph Learning for Heterogeneous Clients","created":"2024-11-18","cited_by_count":3},{"id":"2412.19229","title":"Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning","created":"2024-12-26","cited_by_count":3}],"next_cursor":"100"}