| Calibrating and Improving Graph Contrastive Learning | Jan 27, 2021 | Contrastive LearningGraph Clustering | CodeCode Available | 0 | 5 |
| Improving Hyper-Relational Knowledge Graph Completion | Apr 16, 2021 | Computational EfficiencyGraph Neural Network | CodeCode Available | 0 | 5 |
| Improving Graph Neural Network Representations of Logical Formulae with Subgraph Pooling | Nov 15, 2019 | Automated Theorem ProvingDeep Learning | CodeCode Available | 0 | 5 |
| Improving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity | May 11, 2021 | Graph Neural Network | CodeCode Available | 0 | 5 |
| Article Classification with Graph Neural Networks and Multigraphs | Sep 20, 2023 | ArticlesClassification | CodeCode Available | 0 | 5 |
| Improving Cyberbully Detection with User Interaction | Nov 1, 2020 | Graph Neural Network | CodeCode Available | 0 | 5 |
| Enhancing Heterogeneous Multi-Agent Cooperation in Decentralized MARL via GNN-driven Intrinsic Rewards | Aug 12, 2024 | Graph Neural NetworkMulti-agent Reinforcement Learning | CodeCode Available | 0 | 5 |
| ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A Unified Neural Network Approach | Nov 13, 2023 | Anomaly DetectionGraph Neural Network | CodeCode Available | 0 | 5 |
| Improving Reliable Navigation under Uncertainty via Predictions Informed by Non-Local Information | Jul 26, 2023 | Graph Neural NetworkNavigate | CodeCode Available | 0 | 5 |
| AdaGrid: Adaptive Grid Search for Link Prediction Training Objective | Mar 30, 2022 | BIG-bench Machine LearningGraph Neural Network | CodeCode Available | 0 | 5 |
