Pair-view Unsupervised Graph Representation Learning Dec 11, 2020 Graph Representation Learning Link Prediction
— Unverified PanRep: Universal node embeddings for heterogeneous graphs Sep 28, 2020 Graph Neural Network Link Prediction
— Unverified Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis May 19, 2022 Graph Classification Link Prediction
— Unverified Path-LLM: A Shortest-Path-based LLM Learning for Unified Graph Representation Aug 10, 2024 Graph Learning Graph Representation Learning
— Unverified Pave Your Own Path: Graph Gradual Domain Adaptation on Fused Gromov-Wasserstein Geodesics May 19, 2025 Domain Adaptation GRAPH DOMAIN ADAPTATION
— Unverified Pay Attention to Relations: Multi-embeddings for Attributed Multiplex Networks Mar 3, 2022 Community Detection Link Prediction
— Unverified Permutohedral-GCN: Graph Convolutional Networks with Global Attention Mar 2, 2020 Node Classification
— Unverified Personalized Layer Selection for Graph Neural Networks Jan 24, 2025 Metric Learning Node Classification
— Unverified PersonaSAGE: A Multi-Persona Graph Neural Network Dec 28, 2022 Graph Neural Network Link Prediction
— Unverified Perturbation Ontology based Graph Attention Networks Nov 27, 2024 Graph Attention Graph Representation Learning
— Unverified PI-GNN: Towards Robust Semi-Supervised Node Classification against Noisy Labels Sep 29, 2021 Graph Mining Graph Neural Network
— Unverified PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions Sep 25, 2019 Community Detection Graph Embedding
— Unverified Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding Dec 19, 2023 Graph Embedding Inductive Bias
— Unverified PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks Jun 25, 2023 graph partitioning Node Classification
— Unverified Positive-Unlabeled Node Classification with Structure-aware Graph Learning Oct 20, 2023 Anomaly Detection Classification
— Unverified Post-Hoc Robustness Enhancement in Graph Neural Networks with Conditional Random Fields Nov 8, 2024 Graph Representation Learning Node Classification
— Unverified Predict Confidently, Predict Right: Abstention in Dynamic Graph Learning Jan 14, 2025 Abstention Prediction Dynamic Link Prediction
— Unverified Predicting the structure of dynamic graphs Jan 8, 2024 Incremental Learning Link Prediction
— Unverified Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs Jul 22, 2024 Few-Shot Learning Graph Neural Network
— Unverified Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification May 25, 2020 Classification General Classification
— Unverified Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective Jul 3, 2021 Link Prediction Node Classification
— Unverified Propagate & Distill: Towards Effective Graph Learners Using Propagation-Embracing MLPs Nov 29, 2023 Graph Neural Network Knowledge Distillation
— Unverified Propagation with Adaptive Mask then Training for Node Classification on Attributed Networks Jun 21, 2022 Attribute Node Classification
— Unverified Prototype-Enhanced Hypergraph Learning for Heterogeneous Information Networks Sep 22, 2023 Node Classification
— Unverified Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More Dec 5, 2023 Adversarial Robustness Molecular Property Prediction
— Unverified Quantifying Challenges in the Application of Graph Representation Learning Jun 18, 2020 Graph Representation Learning Link Prediction
— Unverified Quantized Convolutional Neural Networks Through the Lens of Partial Differential Equations Aug 31, 2021 Autonomous Driving image-classification
— Unverified Quantum-based subgraph convolutional neural networks Apr 1, 2019 General Classification Graph Classification
— Unverified Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs Dec 12, 2020 Adversarial Attack Graph Classification
— Unverified QUINT: Node embedding using network hashing Sep 9, 2021 Link Prediction Network Embedding
— Unverified RECS: Robust Graph Embedding Using Connection Subgraphs May 3, 2018 General Classification Graph Embedding
— Unverified Reduced Jeffries-Matusita distance: A Novel Loss Function to Improve Generalization Performance of Deep Classification Models Mar 13, 2024 Classification Data Augmentation
— Unverified Refined Edge Usage of Graph Neural Networks for Edge Prediction Dec 25, 2022 Link Prediction Node Classification
— Unverified REFINE: Random RangE FInder for Network Embedding Aug 24, 2021 Network Embedding Node Classification
— Unverified Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks Dec 27, 2023 Contrastive Learning Node Classification
— Unverified ReGrAt: Regularization in Graphs using Attention to handle class imbalance Nov 27, 2022 Classification Node Classification
— Unverified Enabling Homogeneous GNNs to Handle Heterogeneous Graphs via Relation Embedding Sep 23, 2022 Graph Learning Graph Neural Network
— Unverified Relation Structure-Aware Heterogeneous Information Network Embedding May 15, 2019 Clustering Link Prediction
— Unverified Relaxing Graph Transformers for Adversarial Attacks Jul 16, 2024 Adversarial Robustness Graph Classification
— Unverified Renormalized Graph Representations for Node Classification Jun 1, 2023 Classification Node Classification
— Unverified Representation Learning of Graphs Using Graph Convolutional Multilayer Networks Based on Motifs Jul 31, 2020 Clustering Graph Neural Network
— Unverified Representation Learning of Reconstructed Graphs Using Random Walk Graph Convolutional Network Jan 2, 2021 Graph Neural Network Graph Representation Learning
— Unverified ResNorm: Tackling Long-tailed Degree Distribution Issue in Graph Neural Networks via Normalization Jun 16, 2022 Node Classification
— Unverified Restructuring Graph for Higher Homophily via Adaptive Spectral Clustering Jun 6, 2022 Clustering Node Classification
— Unverified Tackling Over-Smoothing for General Graph Convolutional Networks Aug 22, 2020 Node Classification
— Unverified Rethinking Graph Transformer Architecture Design for Node Classification Oct 15, 2024 Classification Computational Efficiency
— Unverified Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering Jan 17, 2024 Node Classification
— Unverified Rethinking the Graph Polynomial Filter via Positive and Negative Coupling Analysis Apr 16, 2024 Node Classification
— Unverified Rethinking the impact of noisy labels in graph classification: A utility and privacy perspective Jun 11, 2024 Classification Contrastive Learning
— Unverified Rethinking Tokenized Graph Transformers for Node Classification Feb 12, 2025 Classification Node Classification
— Unverified 