graph-structured data

Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data ICML 2025 Collaborative non-parametric two-sample testing AISTATS 2025 Decoupled Subgraph Federated Learning ICLR 2025 FanChuan: A Multilingual and Graph-Structured Benchmark For Parody Detection and Analysis ACL 2025 A Context-Enhanced Framework for Sequential Graph Reasoning IJCAI 2024 Federated Graph Learning under Domain Shift with Generalizable Prototypes AAAI 2024 Let’s Ask GNN: Empowering Large Language Model for Graph In-Context Learning EMNLP 2024 Linear Opinion Pooling for Uncertainty Quantification on Graphs UAI 2024 Talk like a Graph: Encoding Graphs for Large Language Models ICLR 2024 Graph-Structured Gaussian Processes for Transferable Graph Learning NeurIPS 2023 Relational Attention: Generalizing Transformers for Graph-Structured Tasks ICLR 2023 Graph Neural Network Bandits NeurIPS 2022 Graph Contrastive Learning Automated ICML 2021 Interpretable Stability Bounds for Spectral Graph Filters ICML 2021 Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks AAAI 2021 Structure-Aware Random Fourier Kernel for Graphs NeurIPS 2021 T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on Graphs NeurIPS 2021 Graph Filtration Learning ICML 2020 Heterogeneous Graph Transformer for Graph-to-Sequence Learning ACL 2020 MetAL: Active Semi-Supervised Learning on Graphs via Meta-Learning ACML 2020 GSN: A Graph-Structured Network for Multi-Party Dialogues IJCAI 2019 Adversarial Attack on Graph Structured Data ICML 2018 Diffusion-Convolutional Neural Networks NeurIPS 2016 Near-optimal Anomaly Detection in Graphs using Lovasz Extended Scan Statistic NeurIPS 2013