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Hypergraph Structure Learning for Hypergraph Neural Networks IJCAI 2022 Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples AAAI 2022 Local Augmentation for Graph Neural Networks ICML 2022 Proximity Enhanced Graph Neural Networks with Channel Contrast IJCAI 2022 RAW-GNN: RAndom Walk Aggregation based Graph Neural Network IJCAI 2022 SAIL: Self-Augmented Graph Contrastive Learning AAAI 2022 Self-Supervised Graph Neural Networks via Diverse and Interactive Message Passing AAAI 2022 Simple GNN Regularisation for 3D Molecular Property Prediction and Beyond ICLR 2022 Stabilizing and Enhancing Link Prediction through Deepened Graph Auto-Encoders IJCAI 2022 Uncovering the Structural Fairness in Graph Contrastive Learning NeurIPS 2022 Accurate Learning of Graph Representations with Graph Multiset Pooling ICLR 2021 Adversarial Directed Graph Embedding AAAI 2021 Adversarial Permutation Guided Node Representations for Link Prediction AAAI 2021 Automorphic Equivalence-aware Graph Neural Network NeurIPS 2021 Beyond Low-frequency Information in Graph Convolutional Networks AAAI 2021 Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning AAAI 2021 Contrastive Laplacian Eigenmaps NeurIPS 2021 Directed Acyclic Graph Neural Networks ICLR 2021 GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings ICML 2021 Graph Game Embedding AAAI 2021 Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks AAAI 2021 Learning Node Representations Using Stationary Flow Prediction on Large Payment and Cash Transaction Networks ICML 2021 Node-wise Localization of Graph Neural Networks IJCAI 2021 On the Bottleneck of Graph Neural Networks and its Practical Implications ICLR 2021 SDGNN: Learning Node Representation for Signed Directed Networks AAAI 2021