conftrace_

graph neural network

4,589 papers

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Also known as

GNNS GNN

Co-occurring keywords · papers mentioning both

node classification (427) message passing (416) representation learning (415) knowledge graph (232) contrastive learning (224) attention mechanism (207) link prediction (203) self-supervised learning (196) graph classification (166) graph representation learning (152)

Papers

GOODAT: Towards Test-Time Graph Out-of-Distribution Detection AAAI 2024 Gradient Rewiring for Editable Graph Neural Network Training NeurIPS 2024 GraFITi: Graphs for Forecasting Irregularly Sampled Time Series AAAI 2024 Gramformer: Learning Crowd Counting via Graph-Modulated Transformer AAAI 2024 GRANOLA: Adaptive Normalization for Graph Neural Networks NeurIPS 2024 Graph2Tac: Online Representation Learning of Formal Math Concepts ICML 2024 Graph Anomaly Detection with Diffusion Model-Based Graph Enhancement (Student Abstract) AAAI 2024 Graph Attention Network with High-Order Neighbor Information Propagation for Social Recommendation IJCAI 2024 Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling ICML 2024 Graph-Based Prediction and Planning Policy Network (GP3Net) for Scalable Self-Driving in Dynamic Environments Using Deep Reinforcement Learning AAAI 2024 Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations ICLR 2024 Graph Bayesian Optimization for Multiplex Influence Maximization AAAI 2024 GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs ICLR 2024 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 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 Disentangled Contrastive Learning with Personalized Transfer for Cross-Domain Recommendation AAAI 2024 Graph Edit Distance with General Costs Using Neural Set Divergence NeurIPS 2024 Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution NeurIPS 2024