Graph Neural Networks

Transformers as Graph-to-Graph Models EMNLP 2023 Transformers over Directed Acyclic Graphs NeurIPS 2023 Transforming Visual Scene Graphs to Image Captions ACL 2023 TranSG: Transformer-Based Skeleton Graph Prototype Contrastive Learning With Structure-Trajectory Prompted Reconstruction for Person Re-Identification CVPR 2023 Transitivity Recovering Decompositions: Interpretable and Robust Fine-Grained Relationships NeurIPS 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 TwiRGCN: Temporally Weighted Graph Convolution for Question Answering over Temporal Knowledge Graphs EACL 2023 Two Heads Are Better Than One: Improving Fake News Video Detection by Correlating with Neighbors ACL 2023 UM6P at SemEval-2023 Task 3: News genre classification based on transformers, graph convolution networks and number of sentences SemEval 2023 U-Match: Two-view Correspondence Learning with Hierarchy-aware Local Context Aggregation IJCAI 2023 Unbiased Heterogeneous Scene Graph Generation with Relation-Aware Message Passing Neural Network AAAI 2023 Unbiased Stochastic Proximal Solver for Graph Neural Networks with Equilibrium States ICLR 2023 Uncertainty Estimation for Molecules: Desiderata and Methods ICML 2023 Uncertainty Quantification over Graph with Conformalized Graph Neural Networks NeurIPS 2023 Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Prediction CVPR 2023 Understanding Oversquashing in GNNs through the Lens of Effective Resistance ICML 2023 Understanding the Limitations of Deep Models for Molecular property prediction: Insights and Solutions NeurIPS 2023 Unifying Short and Long-Term Tracking With Graph Hierarchies CVPR 2023 Universal Graph Contrastive Learning with a Novel Laplacian Perturbation UAI 2023 Universe Points Representation Learning for Partial Multi-Graph Matching AAAI 2023 Unleashing the Power of High-pass Filtering in Continuous Graph Neural Networks ACML 2023 Unleashing the Power of Language Models in Text-Attributed Graph EMNLP 2023 Unsupervised Deep Subgraph Anomaly Detection (Extended Abstract) IJCAI 2023