Showing 1–20 of 40 results
/ Date/ Name
Oct 15, 2020MedDG: An Entity-Centric Medical Consultation Dataset for Entity-Aware Medical Dialogue GenerationJan 30, 2023Robust Attributed Graph Alignment via Joint Structure Learning and Optimal TransportJun 21, 2023GADBench: Revisiting and Benchmarking Supervised Graph Anomaly DetectionAug 14, 2025APFL: Analytic Personalized Federated Learning via Dual-Stream Least SquaresJan 15, 2026FilDeep: Learning Large Deformations of Elastic-Plastic Solids with Multi-Fidelity DataMay 18, 2025ACU: Analytic Continual Unlearning for Efficient and Exact Forgetting with Privacy PreservationAug 6, 2025FedHiP: Heterogeneity-Invariant Personalized Federated Learning Through Closed-Form SolutionsMay 11, 2023A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity AlignmentFeb 28, 2026DeepAFL: Deep Analytic Federated LearningJan 17, 2023A Semi-supervised Sensing Rate Learning based CMAB Scheme to Combat COVID-19 by Trustful Data Collection in the CrowdOct 21, 2024TS-ACL: Closed-Form Solution for Time Series-oriented Continual LearningMay 31, 2022Rethinking Graph Neural Networks for Anomaly DetectionJun 29, 2024GraphArena: Evaluating and Exploring Large Language Models on Graph ComputationMay 18, 2025AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID DataMay 28, 2019Target-Guided Open-Domain ConversationMay 17, 2022Fast and Provably Convergent Algorithms for Gromov-Wasserstein in Graph DataFeb 9, 2023Outlier-Robust Gromov-Wasserstein for Graph DataNov 10, 2024UniGAD: Unifying Multi-level Graph Anomaly DetectionMay 27, 2025How does Misinformation Affect Large Language Model Behaviors and Preferences?Nov 11, 2025BDD2Seq: Enabling Scalable Reversible-Circuit Synthesis via Graph-to-Sequence Learning