Graph Neural Networks

Temporal Graph Neural Networks for Irregular Data AISTATS 2023 TextPSG: Panoptic Scene Graph Generation from Textual Descriptions ICCV 2023 The expressive power of pooling in Graph Neural Networks NeurIPS 2023 The Power of Recursion in Graph Neural Networks for Counting Substructures AISTATS 2023 THOR-Net: End-to-End Graformer-Based Realistic Two Hands and Object Reconstruction With Self-Supervision WACV 2023 TIDE: Time Derivative Diffusion for Deep Learning on Graphs ICML 2023 Time-Aware Random Walk Diffusion to Improve Dynamic Graph Learning AAAI 2023 TopicFM: Robust and Interpretable Topic-Assisted Feature Matching AAAI 2023 Topological Pooling on Graphs AAAI 2023 Totally Dynamic Hypergraph Neural Networks IJCAI 2023 Total Variation Graph Neural Networks ICML 2023 Toward Consistent and Informative Event-Event Temporal Relation Extraction ACL 2023 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 Open Temporal Graph Neural Networks ICLR 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 Trading Syntax Trees for Wordpieces: Target-oriented Opinion Words Extraction with Wordpieces and Aspect Enhancement ACL 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