| Towards a Generic Representation of Combinatorial Problems for Learning-Based Approaches | Mar 9, 2024 | Graph Neural Network | CodeCode Available | 1 |
| Applying Self-supervised Learning to Network Intrusion Detection for Network Flows with Graph Neural Network | Mar 3, 2024 | Binary ClassificationContrastive Learning | CodeCode Available | 1 |
| PyGim: An Efficient Graph Neural Network Library for Real Processing-In-Memory Architectures | Feb 26, 2024 | CPUGPU | CodeCode Available | 1 |
| Linear-Time Graph Neural Networks for Scalable Recommendations | Feb 21, 2024 | Graph Neural NetworkRecommendation Systems | CodeCode Available | 1 |
| Can GNN be Good Adapter for LLMs? | Feb 20, 2024 | Graph Neural NetworkNode Classification | CodeCode Available | 1 |
| Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables | Feb 20, 2024 | Fact CheckingGraph Neural Network | CodeCode Available | 1 |
| A Microstructure-based Graph Neural Network for Accelerating Multiscale Simulations | Feb 20, 2024 | Graph Neural Network | CodeCode Available | 1 |
| Exploring Heterogeneity and Uncertainty for Graph-based Cognitive Diagnosis Models in Intelligent Education | Feb 15, 2024 | cognitive diagnosisGraph Neural Network | CodeCode Available | 1 |
| Explainable Global Wildfire Prediction Models using Graph Neural Networks | Feb 11, 2024 | BenchmarkingCommunity Detection | CodeCode Available | 1 |
| Deceptive Path Planning via Reinforcement Learning with Graph Neural Networks | Feb 9, 2024 | Graph Neural Networkreinforcement-learning | CodeCode Available | 1 |
| Moco: A Learnable Meta Optimizer for Combinatorial Optimization | Feb 7, 2024 | Combinatorial OptimizationGraph Neural Network | CodeCode Available | 1 |
| Efficient Tuning and Inference for Large Language Models on Textual Graphs | Jan 28, 2024 | ArticlesGraph Neural Network | CodeCode Available | 1 |
| LPAC: Learnable Perception-Action-Communication Loops with Applications to Coverage Control | Jan 10, 2024 | Graph Neural NetworkImitation Learning | CodeCode Available | 1 |
| Powerformer: A Section-adaptive Transformer for Power Flow Adjustment | Jan 5, 2024 | Graph Neural Network | CodeCode Available | 1 |
| Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning | Jan 2, 2024 | Contrastive LearningGraph Neural Network | CodeCode Available | 1 |
| MolSets: Molecular Graph Deep Sets Learning for Mixture Property Modeling | Dec 27, 2023 | Graph Neural Networkmixture property prediction | CodeCode Available | 1 |
| Olfactory Label Prediction on Aroma-Chemical Pairs | Dec 26, 2023 | Graph Neural NetworkPrediction | CodeCode Available | 1 |
| Fine-tuning Graph Neural Networks by Preserving Graph Generative Patterns | Dec 21, 2023 | Graph ClassificationGraph Learning | CodeCode Available | 1 |
| Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer | Dec 19, 2023 | Graph Neural NetworkNumerical Integration | CodeCode Available | 1 |
| When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook | Dec 19, 2023 | Graph MiningGraph Neural Network | CodeCode Available | 1 |
| Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection | Dec 19, 2023 | Event DetectionGraph Neural Network | CodeCode Available | 1 |
| Patch-wise Graph Contrastive Learning for Image Translation | Dec 13, 2023 | Contrastive LearningGraph Neural Network | CodeCode Available | 1 |
| Higher-Order Equivariant Neural Networks for Charge Density Prediction in Materials | Dec 8, 2023 | Graph Neural NetworkProperty Prediction | CodeCode Available | 1 |
| GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts | Dec 7, 2023 | DiversityGraph Neural Network | CodeCode Available | 1 |
| PyTorch Geometric High Order: A Unified Library for High Order Graph Neural Network | Nov 28, 2023 | Graph Neural Network | CodeCode Available | 1 |
