node representation

Bridging Local Details and Global Context in Text-Attributed Graphs EMNLP 2024 Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery AAAI 2024 FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization AAAI 2024 GRANOLA: Adaptive Normalization for Graph Neural Networks NeurIPS 2024 Graph Contrastive Invariant Learning from the Causal Perspective AAAI 2024 Graph Contrastive Learning under Heterophily via Graph Filters UAI 2024 Graph Neural Networks with Soft Association between Topology and Attribute AAAI 2024 HeterGCL: Graph Contrastive Learning Framework on Heterophilic Graph IJCAI 2024 HONGAT: Graph Attention Networks in the Presence of High-Order Neighbors AAAI 2024 Joint Domain Adaptive Graph Convolutional Network IJCAI 2024 Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers NeurIPS 2024 Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs ICML 2024 Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning AAAI 2024 Pure Message Passing Can Estimate Common Neighbor for Link Prediction NeurIPS 2024 Rethinking Independent Cross-Entropy Loss For Graph-Structured Data ICML 2024 SpeAr: A Spectral Approach for Zero-Shot Node Classification NeurIPS 2024 Towards Dynamic Message Passing on Graphs NeurIPS 2024 VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections ICLR 2024 What Matters in Graph Class Incremental Learning? An Information Preservation Perspective NeurIPS 2024 A Metadata-Driven Approach to Understand Graph Neural Networks NeurIPS 2023 Beyond Homophily: Robust Graph Anomaly Detection via Neural Sparsification IJCAI 2023 Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating AAAI 2023 Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment AAAI 2023 Demystifying Oversmoothing in Attention-Based Graph Neural Networks NeurIPS 2023 Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning AAAI 2023