graph machine learning

AutoG: Towards automatic graph construction from tabular data ICLR 2025 Graph Machine Learning based Doubly Robust Estimator for Network Causal Effects AISTATS 2025 Inductive Learning on Heterogeneous Graphs Enhanced by LLMs for Software Mention Detection ACL 2025 A Poincaré Inequality and Consistency Results for Signal Sampling on Large Graphs ICLR 2024 A Survey of Data-Efficient Graph Learning IJCAI 2024 Language is All a Graph Needs EACL 2024 Learning on Large Graphs using Intersecting Communities NeurIPS 2024 Robust Offline Active Learning on Graphs NeurIPS 2024 Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets ICLR 2024 When Causal Inference Meets Graph Machine Learning AAAI 2024 Anomaly Detection in Human Brain via Inductive Learning on Temporal Multiplex Networks MLHC 2023 Curriculum Graph Machine Learning: A Survey IJCAI 2023 Isotropic Gaussian Processes on Finite Spaces of Graphs AISTATS 2023 NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics NeurIPS 2023 Fast Graph Neural Tangent Kernel via Kronecker Sketching AAAI 2022 Open Graph Benchmark: Datasets for Machine Learning on Graphs NeurIPS 2020