Graph Neural Networks

GraphChef: Decision-Tree Recipes to Explain Graph Neural Networks ICLR 2024 Graph Classification via Reference Distribution Learning: Theory and Practice NeurIPS 2024 Graph Coarsening with Message-Passing Guarantees NeurIPS 2024 Graphcode: Learning from multiparameter persistent homology using graph neural networks NeurIPS 2024 Graph Collaborative Expert Finding with Contrastive Learning IJCAI 2024 Graph Context Transformation Learning for Progressive Correspondence Pruning AAAI 2024 Graph Contrastive Invariant Learning from the Causal Perspective AAAI 2024 Graph Contrastive Learning under Heterophily via Graph Filters UAI 2024 Graph Convolutions Enrich the Self-Attention in Transformers! NeurIPS 2024 GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction NeurIPS 2024 Graph Diffusion Policy Optimization NeurIPS 2024 Graph Diffusion Transformers for Multi-Conditional Molecular Generation NeurIPS 2024 Graph Disentangled Contrastive Learning with Personalized Transfer for Cross-Domain Recommendation AAAI 2024 Graph Distillation with Eigenbasis Matching ICML 2024 Graph Edit Distance with General Costs Using Neural Set Divergence NeurIPS 2024 Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution NeurIPS 2024 Graph External Attention Enhanced Transformer ICML 2024 GraphFill: Deep Image Inpainting Using Graphs WACV 2024 Graph Generation with Diffusion Mixture ICML 2024 Graph Geometry-Preserving Autoencoders ICML 2024 Graph-Induced Syntactic-Semantic Spaces in Transformer-Based Variational AutoEncoders NAACL 2024 Graph Invariant Learning with Subgraph Co-mixup for Out-of-Distribution Generalization AAAI 2024 Graph Language Models ACL 2024 Graph Learning for Numeric Planning NeurIPS 2024 Graph Learning in 4D: A Quaternion-Valued Laplacian to Enhance Spectral GCNs AAAI 2024