graph neural network

Augmenting Affective Dependency Graph via Iterative Incongruity Graph Learning for Sarcasm Detection AAAI 2023 A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks IJCAI 2023 AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks ICLR 2023 Benchmarking Graph Neural Networks JMLR 2023 Benchmark of Machine Learning Force Fields for Semiconductor Simulations: Datasets, Metrics, and Comparative Analysis NeurIPS 2023 Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks NeurIPS 2023 Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering ICML 2023 Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating AAAI 2023 BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing NSDI 2023 BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency ACL 2023 Bipartite Graph Pre-training for Unsupervised Extractive Summarization with Graph Convolutional Auto-Encoders EMNLP 2023 Boosting Few-shot Action Recognition with Graph-guided Hybrid Matching ICCV 2023 Boosting Graph Neural Networks via Adaptive Knowledge Distillation AAAI 2023 Boosting the Cycle Counting Power of Graph Neural Networks with I$^2$-GNNs ICLR 2023 Boundary Graph Neural Networks for 3D Simulations AAAI 2023 Calibrate and Boost Logical Expressiveness of GNN Over Multi-Relational and Temporal Graphs NeurIPS 2023 Calibration techniques for node classification using graph neural networks on medical image data MIDL 2023 Can Graph Neural Networks Learn to Solve the MaxSAT Problem? (Student Abstract) AAAI 2023 Capturing the Long-Distance Dependency in the Control Flow Graph via Structural-Guided Attention for Bug Localization IJCAI 2023 CARE: Modeling Interacting Dynamics Under Temporal Environmental Variation NeurIPS 2023 Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention IJCAI 2023 Certifiably Robust Graph Contrastive Learning NeurIPS 2023 Characterizing and Verifying Scientific Claims: Qualitative Causal Structure is All You Need EMNLP 2023 Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond NeurIPS 2023 Characterizing personalized effects of family information on disease risk using graph representation learning MLHC 2023