Causal Categorization

Causal categorization aims to identify and classify cause-and-effect relationships within data, a crucial task across diverse fields from scientific discovery to mental health analysis. Current research focuses on leveraging advanced machine learning models, including graph neural networks, transformers (like Longformer), and spiking neural networks, to improve the accuracy and efficiency of causal relationship identification in various data types, such as text, time series, and graph-structured data. These advancements are improving the ability to understand complex systems and make more informed decisions in areas like reinforcement learning, social media analysis, and scientific modeling. The development of robust and explainable causal categorization methods holds significant potential for advancing knowledge discovery and decision-making across numerous domains.

Papers

August 26, 2024

Probing Causality Manipulation of Large Language Models
Chenyang Zhang, Haibo Tong, Bin Zhang, Dongyu Zhang
Large Language Model Natural Language Processing Causal Relationship Causal Categorization

May 7, 2024

Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning
Yihong Gu, Cong Fang, Peter Bühlmann, Jianqing Fan
Heterogeneous Environment Causal Categorization Invariance Learning Data Driven Causal Adversarial Estimator

January 27, 2024

Towards Causal Classification: A Comprehensive Study on Graph Neural Networks
Simi Job, Xiaohui Tao, Taotao Cai, Lin Li, Haoran Xie, Jianming Yong
Graph Neural Network Graph Structured Data Comprehensive Study Graph Level Task GNN Framework Causal Categorization Graph Classification Benchmark

December 15, 2023

Rethinking Causal Relationships Learning in Graph Neural Networks
Hang Gao, Chengyu Yao, Jiangmeng Li, Lingyu Si, Yifan Jin, Fengge Wu, Changwen Zheng, Huaping Liu
Graph Neural Network Causal Relationship Causal Learning Novel Causal Model Causal Categorization

September 15, 2023

A Spiking Binary Neuron -- Detector of Causal Links
Mikhail Kiselev, Denis Larionov, Andrey Urusov
Neuromorphic Hardware Causal Relationship Shi Detector Neuronal Network Causal Categorization Binary Neuron

April 8, 2023

Multi-class Categorization of Reasons behind Mental Disturbance in Long Texts
Muskan Garg
Mental Health Social Medium Data Reason Giving Multi Class Classification Causal Analysis Long Text Causal Categorization Explainable Causal

March 7, 2023

Graph Decision Transformer
Shengchao Hu, Li Shen, Ya Zhang, Dacheng Tao
Offline Reinforcement Learning Graph Transformer Causal Categorization

January 6, 2023

Causal Categorization of Mental Health Posts using Transformers
Simranjeet Kaur, Ritika Bhardwaj, Aastha Jain, Muskan Garg, Chandni Saxena
Transformer Megatron Decepticons Mental Health Cause Effect Causal Categorization

November 28, 2022

Improved Representation of Asymmetrical Distances with Interval Quasimetric Embeddings
Tongzhou Wang, Phillip Isola
Better Representation Causal Categorization Point to Plane Distance Quasimetric Learning

November 4, 2022

1Cademy @ Causal News Corpus 2022: Leveraging Self-Training in Causality Classification of Socio-Political Event Data
Adam Nik, Ge Zhang, Xingran Chen, Mingyu Li, Jie Fu
Self Training Event Causality Identification Causal Categorization Self Training Pipeline Negative Pseudo Label Causal News Corpus

October 26, 2022

Rhino: Deep Causal Temporal Relationship Learning With History-dependent Noise
Wenbo Gong, Joel Jennings, Cheng Zhang, Nick Pawlowski
Causal Relationship Causal Discovery Method Causal Categorization Historical Robot Rhino

October 16, 2022

Explainable Causal Analysis of Mental Health on Social Media Data
Chandni Saxena, Muskan Garg, Gunjan Ansari
Mental Health Social Medium Data Multi Class Classification Causal Explanation Causal Categorization Explainable Causal

July 11, 2022

CAMS: An Annotated Corpus for Causal Analysis of Mental Health Issues in Social Media Posts
Muskan Garg, Chandni Saxena, Veena Krishnan, Ruchi Joshi, Sriparna Saha, Vijay Mago, Bonnie J Dorr
Social Medium Mental Health Causal Analysis Annotated Corpus Causal Interpretation Interpretable Causal Causal Categorization Meteor Detection

December 16, 2021

Knowledge-Augmented Language Models for Cause-Effect Relation Classification
Pedram Hosseini, David A. Broniatowski, Mona Diab
Language Model Causal Discovery Commonsense Knowledge Knowledge Augmentation Causal Categorization Commonsense Causality

November 3, 2021

SERC: Syntactic and Semantic Sequence based Event Relation Classification
Kritika Venkatachalam, Raghava Mutharaju, Sumit Bhatia
LSTM Network Textual Entailment Causal Relation Causal Feature Event Relation Extraction Causal Categorization Word Sequence