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granger causality

46 papers

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Also known as

GC

Co-occurring keywords

causal inference (1630) causal discovery (460) time series (435) hawkes process (90) event sequence (55) neural network (6616) time series analysis (175) vector autoregressive model (12) vector autoregression (19) graph neural network (3962)

Papers

LLM as a Risk Manager: LLM Semantic Filtering for Lead–Lag Trading in Prediction Markets ACL 2026
GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality AAAI 2025
Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes AISTATS 2024
MECD: Unlocking Multi-Event Causal Discovery in Video Reasoning NIPS 2024
A Simple yet Scalable Granger Causal Structural Learning Approach for Topological Event Sequences NIPS 2024
Root Cause Analysis in Microservice Using Neural Granger Causal Discovery AAAI 2024
Bi-Causal: Group Activity Recognition via Bidirectional Causality CVPR 2024
TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences AAAI 2024
Unveiling Currency Market Dynamics: Leveraging Federal Reserve Communications for Strategic Investment Insights COLING 2024
CUTS+: High-Dimensional Causal Discovery from Irregular Time-Series AAAI 2024
Causal Discovery from Event Sequences by Local Cause-Effect Attribution NIPS 2024
Towards the Disappearing Truth: Fine-Grained Joint Causal Influences Learning with Hidden Variable-Driven Causal Hypergraphs in Time Series AAAI 2024
Survey and Evaluation of Causal Discovery Methods for Time Series (Extended Abstract) IJCAI 2023
Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences IJCAI 2023
Learning Conditional Granger Causal Temporal Networks CLEAR 2023
Causal Recurrent Variational Autoencoder for Medical Time Series Generation AAAI 2023
Granger Components Analysis: Unsupervised learning of latent temporal dependencies NIPS 2023
Testing Granger Non-Causality in Panels with Cross-Sectional Dependencies AISTATS 2022
Causal Discovery in Hawkes Processes by Minimum Description Length AAAI 2022
Causality Preserving Chaotic Transformation and Classification using Neurochaos Learning NIPS 2022
Summary Markov Models for Event Sequences IJCAI 2022
Generative Causal Explanations for Graph Neural Networks ICML 2021
Learning interaction rules from multi-animal trajectories via augmented behavioral models NIPS 2021
Cardinality-Regularized Hawkes-Granger Model NIPS 2021
Affect2MM: Affective Analysis of Multimedia Content Using Emotion Causality CVPR 2021