node embedding

Improving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity ICML 2021 KS-GNN: Keywords Search over Incomplete Graphs via Graphs Neural Network NeurIPS 2021 Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning NeurIPS 2021 Learning Conjoint Attentions for Graph Neural Nets NeurIPS 2021 Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs AAAI 2021 Residual2Vec: Debiasing graph embedding with random graphs NeurIPS 2021 SDGNN: Learning Node Representation for Signed Directed Networks AAAI 2021 Spectral embedding for dynamic networks with stability guarantees NeurIPS 2021 Wasserstein Embedding for Graph Learning ICLR 2021 A Flexible Latent Space Model for Multilayer Networks ICML 2020 Deep Graph Matching Consensus ICLR 2020 EndCold: An End-to-End Framework for Cold Question Routing in Community Question Answering Services IJCAI 2020 Geom-GCN: Geometric Graph Convolutional Networks ICLR 2020 GSSNN: Graph Smoothing Splines Neural Networks AAAI 2020 Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning AAAI 2020 Inductive Link Prediction for Nodes Having Only Attribute Information IJCAI 2020 Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings NeurIPS 2020 Learning-Based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching AAAI 2020 Learning deep graph matching with channel-independent embedding and Hungarian attention ICLR 2020 Low-dimensional statistical manifold embedding of directed graphs ICLR 2020 NENN: Incorporate Node and Edge Features in Graph Neural Networks ACML 2020 Network Representation Learning Algorithm Based on Neighborhood Influence Sequence ACML 2020 Node Embeddings and Exact Low-Rank Representations of Complex Networks NeurIPS 2020 On the Equivalence between Positional Node Embeddings and Structural Graph Representations ICLR 2020 PairNorm: Tackling Oversmoothing in GNNs ICLR 2020