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node representation

107 papers

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Co-occurring keywords

graph neural network (3962) representation learning (6206) graph representation learning (246) contrastive learning (4032) node classification (482) graph representation (360) message passing (579) self-supervised learning (3777) unsupervised learning (3264) graph convolutional network (658)

Papers

HONGAT: Graph Attention Networks in the Presence of High-Order Neighbors AAAI 2024
Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning AAAI 2024
ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection AAAI 2024
What Matters in Graph Class Incremental Learning? An Information Preservation Perspective NIPS 2024
HeterGCL: Graph Contrastive Learning Framework on Heterophilic Graph IJCAI 2024
Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery AAAI 2024
Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers NIPS 2024
Towards Dynamic Message Passing on Graphs NIPS 2024
Joint Domain Adaptive Graph Convolutional Network IJCAI 2024
Unleashing the Power of Language Models in Text-Attributed Graph EMNLP 2023
Beyond Homophily: Robust Graph Anomaly Detection via Neural Sparsification IJCAI 2023
A Metadata-Driven Approach to Understand Graph Neural Networks NIPS 2023
Intensity Profile Projection: A Framework for Continuous-Time Representation Learning for Dynamic Networks NIPS 2023
Learning Invariant Representations of Graph Neural Networks via Cluster Generalization NIPS 2023
Signed Laplacian Graph Neural Networks AAAI 2023
Simple and Efficient Heterogeneous Graph Neural Network AAAI 2023
Prediction and Calibration: Complex Reasoning over Knowledge Graph with Bi-directional Directed Acyclic Graph Neural Network ACL 2023
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating AAAI 2023
Path Neural Networks: Expressive and Accurate Graph Neural Networks ICML 2023
Generic and Dynamic Graph Representation Learning for Crowd Flow Modeling AAAI 2023
Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection NIPS 2023
Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment AAAI 2023
Demystifying Oversmoothing in Attention-Based Graph Neural Networks NIPS 2023
Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning AAAI 2023
Structural Re-weighting Improves Graph Domain Adaptation ICML 2023