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| Decoupled Graph Neural Networks for Large Dynamic Graphs | May 14, 2023 | Graph Neural NetworkRecommendation Systems | CodeCode Available | 0 | 5 |
| GraphReach: Position-Aware Graph Neural Network using Reachability Estimations | Aug 19, 2020 | Graph Neural NetworkLink Prediction | CodeCode Available | 0 | 5 |
| Graph Neural Networks with convolutional ARMA filters | Jan 5, 2019 | ClassificationGeneral Classification | CodeCode Available | 0 | 5 |
| FastCover: An Unsupervised Learning Framework for Multi-Hop Influence Maximization in Social Networks | Oct 31, 2021 | Combinatorial OptimizationGraph Neural Network | CodeCode Available | 0 | 5 |
| Compiler Auto-Vectorization with Imitation Learning | Dec 1, 2019 | Graph Neural NetworkImitation Learning | CodeCode Available | 0 | 5 |
| Deep Bayesian Optimization on Attributed Graphs | May 31, 2019 | Bayesian OptimizationGaussian Processes | CodeCode Available | 0 | 5 |
| Graph Coarsening via Convolution Matching for Scalable Graph Neural Network Training | Dec 24, 2023 | Graph Neural NetworkLink Prediction | CodeCode Available | 0 | 5 |
| Graph Neural Networks with Parallel Neighborhood Aggregations for Graph Classification | Nov 22, 2021 | ClassificationGraph Classification | CodeCode Available | 0 | 5 |
| Comparative Analysis of Multi-Omics Integration Using Advanced Graph Neural Networks for Cancer Classification | Oct 5, 2024 | Cancer ClassificationData Integration | CodeCode Available | 0 | 5 |
