Graph Neural Networks

MMGNN: A Molecular Merged Graph Neural Network for Explainable Solvation Free Energy Prediction IJCAI 2024 Modelling Microbial Communities with Graph Neural Networks ICML 2024 Moderate Message Passing Improves Calibration: A Universal Way to Mitigate Confidence Bias in Graph Neural Networks AAAI 2024 MOFDiff: Coarse-grained Diffusion for Metal-Organic Framework Design ICLR 2024 Mol-AE: Auto-Encoder Based Molecular Representation Learning With 3D Cloze Test Objective ICML 2024 MolTC: Towards Molecular Relational Modeling In Language Models ACL 2024 Monotone Operator Theory-Inspired Message Passing for Learning Long-Range Interaction on Graphs AISTATS 2024 Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning AAAI 2024 Motion Graph Unleashed: A Novel Approach to Video Prediction NeurIPS 2024 MOTIVE: A Drug-Target Interaction Graph For Inductive Link Prediction NeurIPS 2024 MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale (Extended Abstract) IJCAI 2024 MRMLREC: A Two-Stage Approach for Addressing Data Sparsity in MOOC Video Recommendation (Student Abstract) AAAI 2024 MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting AAAI 2024 Multi-Grained Conversational Graph Network for Retrieval-based Dialogue Systems COLING 2024 Multi-Granularity Sparse Relationship Matrix Prediction Network for End-to-End Scene Graph Generation ECCV 2024 Multi-label Bird Species Classification from Field Recordings using Mel_Graph-GCN Framework Interspeech 2024 Multi-level Relational Learning with Synergistic Graphs for Multivariate Time Series Forecasting ACML 2024 Multimodal Event Causality Reasoning with Scene Graph Enhanced Interaction Network AAAI 2024 Multimodal Graph Neural Architecture Search under Distribution Shifts AAAI 2024 Multiple Knowledge-Enhanced Interactive Graph Network for Multimodal Conversational Emotion Recognition EMNLP 2024 Multi-Prototype Space Learning for Commonsense-Based Scene Graph Generation AAAI 2024 Multi-Scale Dynamic Graph Learning for Time Series Anomaly Detection (Student Abstract) AAAI 2024 Multi-Scene Generalized Trajectory Global Graph Solver with Composite Nodes for Multiple Object Tracking AAAI 2024 Multi-Track Message Passing: Tackling Oversmoothing and Oversquashing in Graph Learning via Preventing Heterophily Mixing ICML 2024 Multivariate Time Series Forecasting By Graph Attention Networks With Theoretical Guarantees AISTATS 2024