{"total":26,"rows":[{"id":"2110.15174","title":"On Provable Benefits of Depth in Training Graph Convolutional Networks","created":"2021-10-28","cited_by_count":58,"area":null},{"id":"2103.15059","title":"A Benchmark and Comprehensive Survey on Knowledge Graph Entity Alignment via Representation Learning","created":"2021-03-28","cited_by_count":31,"area":null},{"id":"2111.04333","title":"threaTrace: Detecting and Tracing Host-based Threats in Node Level Through Provenance Graph Learning","created":"2021-11-08","cited_by_count":22,"area":null},{"id":"2101.06189","title":"Hybrid Quantum-Classical Graph Convolutional Network","created":"2021-01-15","cited_by_count":21,"area":null},{"id":"2102.06349","title":"Physics-Informed Graphical Neural Network for Parameter & State Estimations in Power Systems","created":"2021-02-12","cited_by_count":21,"area":null},{"id":"2102.09604","title":"Privacy-Preserving Graph Convolutional Networks for Text Classification","created":"2021-02-10","cited_by_count":19,"area":null},{"id":"2108.00238","title":"Unlimited Neighborhood Interaction for Heterogeneous Trajectory Prediction","created":"2021-07-31","cited_by_count":17,"area":null},{"id":"2108.04822","title":"Self-supervised Consensus Representation Learning for Attributed Graph","created":"2021-08-10","cited_by_count":15,"area":null},{"id":"2203.08565","title":"Geographic Adaptation of Pretrained Language Models","created":"2022-03-16","cited_by_count":14,"area":null},{"id":"2106.11865","title":"NetFense: Adversarial Defenses against Privacy Attacks on Neural Networks for Graph Data","created":"2021-06-22","cited_by_count":13,"area":null},{"id":"2103.04683","title":"Learning Graph Neural Networks with Positive and Unlabeled Nodes","created":"2021-03-08","cited_by_count":11,"area":null},{"id":"2403.14659","title":"Social Intelligence Data Infrastructure: Structuring the Present and Navigating the Future","created":"2024-02-28","cited_by_count":11,"area":null},{"id":"2104.08438","title":"Bayesian graph convolutional neural networks via tempered MCMC","created":"2021-04-17","cited_by_count":9,"area":null},{"id":"2110.07181","title":"Relation-aware Heterogeneous Graph for User Profiling","created":"2021-10-14","cited_by_count":9,"area":null},{"id":"2111.10447","title":"DyFormer: A Scalable Dynamic Graph Transformer with Provable Benefits on Generalization Ability","created":"2021-11-19","cited_by_count":5,"area":null},{"id":"2206.00583","title":"Calibrate and Debias Layer-wise Sampling for Graph Convolutional Networks","created":"2022-06-01","cited_by_count":5,"area":null},{"id":"2105.08330","title":"Residual Network and Embedding Usage: New Tricks of Node Classification with Graph Convolutional Networks","created":"2021-05-18","cited_by_count":3,"area":null},{"id":"2207.07503","title":"Explainable Sparse Knowledge Graph Completion via High-order Graph Reasoning Network","created":"2022-07-14","cited_by_count":2,"area":null},{"id":"2101.11424","title":"geoGAT: Graph Model Based on Attention Mechanism for Geographic Text Classification","created":"2021-01-13","cited_by_count":1,"area":null},{"id":"2104.13323","title":"Network Embedding via Deep Prediction Model","created":"2021-04-27","cited_by_count":1,"area":null},{"id":"2106.13061","title":"Fea2Fea: Exploring Structural Feature Correlations via Graph Neural Networks","created":"2021-06-24","cited_by_count":1,"area":null},{"id":"2112.06999","title":"Designing weighted and multiplex networks for deep learning user geolocation in Twitter","created":"2021-12-13","cited_by_count":1,"area":null},{"id":"2207.11500","title":"Catch Me If You Can: Deceiving Stance Detection and Geotagging Models to Protect Privacy of Individuals on Twitter","created":"2022-07-23","cited_by_count":0,"area":null},{"id":"2406.06618","title":"PANDORA: Deep graph learning based COVID-19 infection risk level forecasting","created":"2024-06-07","cited_by_count":0,"area":null},{"id":"2408.03342","title":"Graph Residual based Method for Molecular Property Prediction","created":"2024-07-27","cited_by_count":0,"area":null},{"id":"2509.22657","title":"Forecasting West Nile virus with deep graph encoders","created":"2025-08-04","cited_by_count":0,"area":null}],"next_cursor":null}