Graph Neural Networks

Position: Graph Foundation Models Are Already Here ICML 2024 Position: Relational Deep Learning - Graph Representation Learning on Relational Databases ICML 2024 Position: Topological Deep Learning is the New Frontier for Relational Learning ICML 2024 PowerGraph: A power grid benchmark dataset for graph neural networks NeurIPS 2024 Power Grid Anomaly Detection via Hybrid LSTM-GIN Model (Student Abstract) AAAI 2024 Predicting and Interpreting Energy Barriers of Metallic Glasses with Graph Neural Networks ICML 2024 Predicting Lagrangian Multipliers for Mixed Integer Linear Programs ICML 2024 Predictive Modeling with Temporal Graphical Representation on Electronic Health Records IJCAI 2024 PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling AAAI 2024 Presentations are not always linear! GNN meets LLM for Text Document-to-Presentation Transformation with Attribution EMNLP 2024 Preserving Spatial-Temporal Relationship with Adaptive Node Sampling in Hierarchical Dynamic Graph Transformers ACML 2024 PRES: Toward Scalable Memory-Based Dynamic Graph Neural Networks ICLR 2024 Privacy Attacks in Decentralized Learning ICML 2024 Probabilistically Rewired Message-Passing Neural Networks ICLR 2024 Probabilistic Graph Rewiring via Virtual Nodes NeurIPS 2024 Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks NeurIPS 2024 ProG: A Graph Prompt Learning Benchmark NeurIPS 2024 PROGRAM: PROtotype GRAph Model based Pseudo-Label Learning for Test-Time Adaptation ICLR 2024 Prometheus: Out-of-distribution Fluid Dynamics Modeling with Disentangled Graph ODE ICML 2024 Prot2Text: Multimodal Protein’s Function Generation with GNNs and Transformers AAAI 2024 Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction AAAI 2024 Proteus: Exploring Protein Structure Generation for Enhanced Designability and Efficiency ICML 2024 ProtGO: Function-Guided Protein Modeling for Unified Representation Learning NeurIPS 2024 Provably Powerful Graph Neural Networks for Directed Multigraphs AAAI 2024 P-tensors: a General Framework for Higher Order Message Passing in Subgraph Neural Networks AISTATS 2024