| Why Propagate Alone? Parallel Use of Labels and Features on Graphs | Oct 14, 2021 | Node Property PredictionProperty Prediction | CodeCode Available | 1 | 5 |
| Adaptive Graph Diffusion Networks | Dec 30, 2020 | GPULink Prediction | CodeCode Available | 1 | 5 |
| A Gaze into the Internal Logic of Graph Neural Networks, with Logic | Aug 5, 2022 | Node Property PredictionProperty Prediction | CodeCode Available | 1 | 5 |
| Bag of Tricks for Node Classification with Graph Neural Networks | Mar 24, 2021 | ClassificationGeneral Classification | CodeCode Available | 1 | 5 |
| Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks | May 20, 2019 | ClusteringComputational Efficiency | CodeCode Available | 1 | 5 |
| Combining Label Propagation and Simple Models Out-performs Graph Neural Networks | Oct 27, 2020 | Node ClassificationNode Classification on Non-Homophilic (Heterophilic) Graphs | CodeCode Available | 1 | 5 |
| Decoupling the Depth and Scope of Graph Neural Networks | Jan 19, 2022 | Link PredictionNode Classification | CodeCode Available | 1 | 5 |
| Residual Network and Embedding Usage: New Tricks of Node Classification with Graph Convolutional Networks | May 18, 2021 | Node ClassificationNode Property Prediction | CodeCode Available | 1 | 5 |
| Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced training | Apr 19, 2021 | Node Property Prediction | CodeCode Available | 1 | 5 |
| Scalable Graph Neural Networks for Heterogeneous Graphs | Nov 19, 2020 | Heterogeneous Node ClassificationNode Property Prediction | CodeCode Available | 1 | 5 |
| Semi-Supervised Classification with Graph Convolutional Networks | Sep 9, 2016 | Document ClassificationDrug Discovery | CodeCode Available | 1 | 5 |
| SIGN: Scalable Inception Graph Neural Networks | Apr 23, 2020 | Graph Representation LearningGraph Sampling | CodeCode Available | 1 | 5 |
| Simple and Deep Graph Convolutional Networks | Jul 4, 2020 | Graph ClassificationGraph Regression | CodeCode Available | 1 | 5 |
| Simple and Efficient Heterogeneous Graph Neural Network | Jul 6, 2022 | Graph Neural NetworkHeterogeneous Node Classification | CodeCode Available | 1 | 5 |
| Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials | May 31, 2023 | Graph LearningNode Classification | CodeCode Available | 1 | 5 |
| Towards Deeper Graph Neural Networks | Jul 18, 2020 | AttributeGraph Neural Network | CodeCode Available | 1 | 5 |
| A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking | Oct 14, 2022 | BenchmarkingGPU | CodeCode Available | 1 | 5 |
| Modeling Relational Data with Graph Convolutional Networks | Mar 17, 2017 | DecoderGeneral Classification | CodeCode Available | 1 | 5 |
| When Do Flat Minima Optimizers Work? | Feb 1, 2022 | BenchmarkingGraph Learning | CodeCode Available | 1 | 5 |
| metapath2vec: Scalable Representation Learning for Heterogeneous Networks | Aug 1, 2017 | ClusteringLink Prediction | CodeCode Available | 0 | 5 |
| Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification | Dec 11, 2024 | Computational Efficiency | CodeCode Available | 0 | 5 |
| DeeperGCN: All You Need to Train Deeper GCNs | Jun 13, 2020 | AllGraph Learning | CodeCode Available | 0 | 5 |
| Multipath Graph Convolutional Neural Networks | May 4, 2021 | Node Property PredictionProperty Prediction | CodeCode Available | 0 | 5 |
| Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction | Oct 29, 2021 | Extreme Multi-Label ClassificationLanguage Modelling | CodeCode Available | 0 | 5 |
| Learning multi-resolution representations of research patterns in bibliographic networks | Feb 1, 2021 | Graph EmbeddingGraph Representation Learning | CodeCode Available | 0 | 5 |
