graph neural network

LLM as Prompter: Low-resource Inductive Reasoning on Arbitrary Knowledge Graphs ACL 2024 LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs AAAI 2024 Locality-Aware Graph Rewiring in GNNs ICLR 2024 Logical characterizations of recurrent graph neural networks with reals and floats NeurIPS 2024 Long-range Brain Graph Transformer NeurIPS 2024 Long-range Meta-path Search on Large-scale Heterogeneous Graphs NeurIPS 2024 MAGNOLIA: Matching Algorithms via GNNs for Online Value-to-go Approximation ICML 2024 Make Bricks with a Little Straw: Large-Scale Spatio-Temporal Graph Learning with Restricted GPU-Memory Capacity IJCAI 2024 Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction IJCAI 2024 MaskPLAN: Masked Generative Layout Planning from Partial Input CVPR 2024 MaxEnt Loss: Calibrating Graph Neural Networks under Out-of-Distribution Shift (Student Abstract) AAAI 2024 MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction AAAI 2024 Measuring Task Similarity and Its Implication in Fine-Tuning Graph Neural Networks AAAI 2024 MESA: Matching Everything by Segmenting Anything CVPR 2024 Message Passing on Semantic-Anchor-Graphs for Fine-grained Emotion Representation Learning and Classification EMNLP 2024 MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous Driving IJCAI 2024 MGM-AE: Self-Supervised Learning on 3D Shape Using Mesh Graph Masked Autoencoders WACV 2024 MGNet: Learning Correspondences via Multiple Graphs AAAI 2024 MHGRL: An Effective Representation Learning Model for Electronic Health Records COLING 2024 MIDGArD: Modular Interpretable Diffusion over Graphs for Articulated Designs NeurIPS 2024 MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs AAAI 2024 Mirage: Model-agnostic Graph Distillation for Graph Classification ICLR 2024 Mitigating Emergent Robustness Degradation while Scaling Graph Learning ICLR 2024 Mitigating Label Noise on Graphs via Topological Sample Selection ICML 2024 Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs ICML 2024