Showing 1–14 of 14 results
/ Date/ Name
Nov 18, 2022Identifying Unique Spatial-Temporal Bayesian Network without Markov EquivalenceMar 2, 2023Interpretable System Identification and Long-term Prediction on Time-Series DataOct 14, 2025The Robustness of Differentiable Causal Discovery in Misspecified ScenariosJul 8, 2025Critical Nodes Identification in Complex Networks: A SurveyFeb 8, 2026CausalCompass: Evaluating the Robustness of Time-Series Causal Discovery in Misspecified ScenariosApr 1, 2026Predicting Dynamics of Ultra-Large Complex Systems by Inferring Governing EquationsJan 30, 2026CoDCL: Counterfactual Data Augmentation Contrastive Learning for Continuous-Time Dynamic Network Link PredictionMay 1, 2026Weisfeiler Lehman Test on Combinatorial Complexes: Generalized Expressive Power of Topological Neural NetworksJul 19, 2024MSCT: Addressing Time-Varying Confounding with Marginal Structural Causal Transformer for Counterfactual Post-Crash Traffic PredictionDec 13, 2025MetaHGNIE: Meta-Path Induced Hypergraph Contrastive Learning in Heterogeneous Knowledge GraphsJul 2, 2024Spatio-Temporal Graphical Counterfactuals: An OverviewMay 26, 2025Decoupling Spatio-Temporal Prediction: When Lightweight Large Models Meet Adaptive HypergraphsMar 4, 2026TFWaveFormer: Temporal-Frequency Collaborative Multi-level Wavelet Transformer for Dynamic Link PredictionJan 28, 2026CCMamba: Topologically-Informed Selective State-Space Networks on Combinatorial Complexes for Higher-Order Graph Learning