| A Robust and Generalized Framework for Adversarial Graph Embedding | May 22, 2021 | Generative Adversarial NetworkGraph Embedding | CodeCode Available | 0 |
| Normalized multivariate time series causality analysis and causal graph reconstruction | Apr 23, 2021 | Causal InferenceGraph Reconstruction | —Unverified | 0 |
| Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning | Apr 20, 2021 | ClusteringGeneral Classification | CodeCode Available | 1 |
| Spatio-temporal Modeling for Large-scale Vehicular Networks Using Graph Convolutional Networks | Mar 13, 2021 | Graph Reconstruction | —Unverified | 0 |
| Accurate Learning of Graph Representations with Graph Multiset Pooling | Feb 23, 2021 | Graph ClassificationGraph Clustering | CodeCode Available | 1 |
| Disentangling homophily, community structure and triadic closure in networks | Jan 7, 2021 | Community DetectionGraph Reconstruction | CodeCode Available | 0 |
| Learning Node Representations from Noisy Graph Structures | Dec 4, 2020 | Graph ReconstructionNode Classification | —Unverified | 0 |
| Permutation-equivariant and Proximity-aware Graph Neural Networks with Stochastic Message Passing | Sep 5, 2020 | Graph MiningGraph Reconstruction | CodeCode Available | 0 |
| SCG-Net: Self-Constructing Graph Neural Networks for Semantic Segmentation | Sep 3, 2020 | Graph ReconstructionOpen-Ended Question Answering | —Unverified | 0 |
| GloDyNE: Global Topology Preserving Dynamic Network Embedding | Aug 5, 2020 | Graph ReconstructionIncremental Learning | CodeCode Available | 1 |
