graph neural network

Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering ICML 2023 Towards Deep Attention in Graph Neural Networks: Problems and Remedies ICML 2023 Towards Enhancing Relational Rules for Knowledge Graph Link Prediction EMNLP 2023 Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network AAAI 2023 Towards Label Position Bias in Graph Neural Networks NeurIPS 2023 Towards Learning to Discover Money Laundering Sub-network in Massive Transaction Network AAAI 2023 Towards Open Temporal Graph Neural Networks ICLR 2023 Towards Robust Graph Incremental Learning on Evolving Graphs ICML 2023 Towards Societal Impact of AI AAAI 2023 Towards Understanding and Reducing Graph Structural Noise for GNNs ICML 2023 Towards Understanding Generalization of Graph Neural Networks ICML 2023 Towards Zero-shot Relation Extraction in Web Mining: A Multimodal Approach with Relative XML Path EMNLP 2023 TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs NeurIPS 2023 Trafformer: Unify Time and Space in Traffic Prediction AAAI 2023 Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks NeurIPS 2023 Transfer learning for atomistic simulations using GNNs and kernel mean embeddings NeurIPS 2023 Transfer NAS with Meta-learned Bayesian Surrogates ICLR 2023 Transformers as Graph-to-Graph Models EMNLP 2023 Transformers Meet Directed Graphs ICML 2023 Transformers over Directed Acyclic Graphs NeurIPS 2023 Transforming Visual Scene Graphs to Image Captions ACL 2023 Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection NeurIPS 2023 Tumor Budding T-cell Graphs: Assessing the Need for Resection in pT1 Colorectal Cancer Patients MIDL 2023 Turning Strengths Into Weaknesses: A Certified Robustness Inspired Attack Framework Against Graph Neural Networks CVPR 2023 Two Heads Are Better Than One: Improving Fake News Video Detection by Correlating with Neighbors ACL 2023