graph neural network

Efficiently predicting high resolution mass spectra with graph neural networks ICML 2023 Efficient Model Updates for Approximate Unlearning of Graph-Structured Data ICLR 2023 Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning AAAI 2023 Empowering Graph Representation Learning with Test-Time Graph Transformation ICLR 2023 End-to-End Full-Atom Antibody Design ICML 2023 End-to-End Pipeline for Trigger Detection on Hit and Track Graphs AAAI 2023 Energy-based Out-of-Distribution Detection for Graph Neural Networks ICLR 2023 Enhancing Dialogue Generation via Dynamic Graph Knowledge Aggregation ACL 2023 Enhancing Emotion Recognition in Conversation via Multi-view Feature Alignment and Memorization EMNLP 2023 Enhancing Network by Reinforcement Learning and Neural Confined Local Search IJCAI 2023 Enhancing Robot Program Synthesis Through Environmental Context NeurIPS 2023 Enhancing the Inductive Biases of Graph Neural ODE for Modeling Physical Systems ICLR 2023 Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns NeurIPS 2023 Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization NeurIPS 2023 Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs ICLR 2023 Equivariant Message Passing Neural Network for Crystal Material Discovery AAAI 2023 Equivariant Polynomials for Graph Neural Networks ICML 2023 Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics NeurIPS 2023 Error Detection for Text-to-SQL Semantic Parsing EMNLP 2023 ESSEN: Improving Evolution State Estimation for Temporal Networks using Von Neumann Entropy NeurIPS 2023 Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking NeurIPS 2023 Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis NeurIPS 2023 Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts NeurIPS 2023 Evolutionary Neural Architecture Search for Multivariate Time Series Forecasting ACML 2023 EvoPrompting: Language Models for Code-Level Neural Architecture Search NeurIPS 2023