Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2406.16708
Cited By
CausalFormer: An Interpretable Transformer for Temporal Causal Discovery
24 June 2024
Lingbai Kong
Wengen Li
Hanchen Yang
Yichao Zhang
Jihong Guan
Shuigeng Zhou
CML
AI4TS
Re-assign community
ArXiv (abs)
PDF
HTML
Github (39★)
Papers citing
"CausalFormer: An Interpretable Transformer for Temporal Causal Discovery"
6 / 6 papers shown
Causal Ordering for Structure Learning from Time Series
Pedro Sanchez
Damian Machlanski
Steven McDonagh
Sotirios A. Tsaftaris
CML
AI4TS
392
0
0
28 Oct 2025
Interpretability as Alignment: Making Internal Understanding a Design Principle
Aadit Sengupta
Pratinav Seth
Vinay Kumar Sankarapu
AI4CE
AAML
156
0
0
10 Sep 2025
Transforming Causality: Transformer-Based Temporal Causal Discovery with Prior Knowledge Integration
Jihua Huang
Yi Yao
Ajay Divakaran
AI4TS
100
0
0
21 Aug 2025
DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes
Jialun Zheng
J. Liu
Jiannong Cao
Xiao Wang
Hanchen Yang
Yankai Chen
Philip S. Yu
185
3
0
01 Aug 2025
OKG-LLM: Aligning Ocean Knowledge Graph with Observation Data via LLMs for Global Sea Surface Temperature Prediction
Hanchen Yang
Jiaqi Wang
Jiannong Cao
Wengen Li
Jialun Zheng
Yangning Li
Chunyu Miao
Jihong Guan
Shuigeng Zhou
Philip S. Yu
110
4
0
31 Jul 2025
Spatial-Temporal Data Mining for Ocean Science: Data, Methodologies, and Opportunities
ACM Transactions on Knowledge Discovery from Data (TKDD), 2023
Hanchen Yang
Wengen Li
Shuyu Wang
Hui Li
Jihong Guan
Shuigeng Zhou
Jiannong Cao
AI4TS
453
6
0
20 Jul 2023
1
Page 1 of 1
