node representation

FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations NeurIPS 2023 Generic and Dynamic Graph Representation Learning for Crowd Flow Modeling AAAI 2023 Hierarchical Transformer for Scalable Graph Learning IJCAI 2023 Intensity Profile Projection: A Framework for Continuous-Time Representation Learning for Dynamic Networks NeurIPS 2023 K-Truss Based Temporal Graph Convolutional Network for Dynamic Graphs ACML 2023 Learning Invariant Representations of Graph Neural Networks via Cluster Generalization NeurIPS 2023 Link Prediction with Non-Contrastive Learning ICLR 2023 Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing ICLR 2023 Path Neural Networks: Expressive and Accurate Graph Neural Networks ICML 2023 PlanE: Representation Learning over Planar Graphs NeurIPS 2023 Prediction and Calibration: Complex Reasoning over Knowledge Graph with Bi-directional Directed Acyclic Graph Neural Network ACL 2023 Signed Laplacian Graph Neural Networks AAAI 2023 Simple and Efficient Heterogeneous Graph Neural Network AAAI 2023 Structural Re-weighting Improves Graph Domain Adaptation ICML 2023 Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection NeurIPS 2023 Unleashing the Power of Language Models in Text-Attributed Graph EMNLP 2023 Automated Self-Supervised Learning for Graphs ICLR 2022 CoCoS: Enhancing Semi-supervised Learning on Graphs with Unlabeled Data via Contrastive Context Sharing AAAI 2022 Continuous Temporal Graph Networks for Event-Based Graph Data NAACL 2022 Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction IJCAI 2022 Dynamic Relevance Graph Network for Knowledge-Aware Question Answering COLING 2022 Geodesic Graph Neural Network for Efficient Graph Representation Learning NeurIPS 2022 GraphAdaMix: Enhancing Node Representations with Graph Adaptive Mixtures AISTATS 2022 Graph Few-shot Learning with Task-specific Structures NeurIPS 2022 Graph Neural Networks with Learnable Structural and Positional Representations ICLR 2022