Graph Neural Networks

Enhancing Student Performance Prediction on Learnersourced Questions with SGNN-LLM Synergy AAAI 2024 EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost IJCAI 2024 EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations ICLR 2024 EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction ICML 2024 Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters NeurIPS 2024 Equivariant Matrix Function Neural Networks ICLR 2024 Equivariant Neural Diffusion for Molecule Generation NeurIPS 2024 Equivariant Scalar Fields for Molecular Docking with Fast Fourier Transforms ICLR 2024 Equivariant spatio-hemispherical networks for diffusion MRI deconvolution NeurIPS 2024 Estimating On-Road Transportation Carbon Emissions from Open Data of Road Network and Origin-Destination Flow Data AAAI 2024 Evaluating Representation Learning on the Protein Structure Universe ICLR 2024 Even Sparser Graph Transformers NeurIPS 2024 Every Node Is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering AAAI 2024 EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs ICML 2024 EX-Graph: A Pioneering Dataset Bridging Ethereum and X ICLR 2024 Explainable Identification of Hate Speech towards Islam using Graph Neural Networks EMNLP 2024 Explainable Origin-Destination Crowd Flow Interpolation via Variational Multi-Modal Recurrent Graph Auto-Encoder AAAI 2024 Explaining Graph Neural Networks via Structure-aware Interaction Index ICML 2024 Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective on Molecule Graphs EMNLP 2024 Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering NeurIPS 2024 Explore Internal and External Similarity for Single Image Deraining with Graph Neural Networks IJCAI 2024 Exploring Consistency in Graph Representations: from Graph Kernels to Graph Neural Networks NeurIPS 2024 Exploring Correlations of Self-Supervised Tasks for Graphs ICML 2024 Exploring Self- and Cross-Triplet Correlations for Human-Object Interaction Detection AAAI 2024 Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems AISTATS 2024