Alternatives and similar repositories for Causal-LLM-Paper

Users that are interested in Causal-LLM-Paper are comparing it to the libraries listed below

• TimeLovercc / Awesome-Graph-Causal-Learning
  A list of Graph Causal Learning materials.
  ☆205Updated 9 months ago
• nuster1128 / Awesome-Causal-Papers
  We organize papers related to causal that published on top conferences recently. (因果领域论文分类汇总)
  ☆93Updated 2 years ago
• anpwu / Awesome-Causal-LLM
  ☆39Updated last year
• IntelLabs / causality-lab
  Causal discovery algorithms and tools for implementing new ones
  ☆231Updated 3 months ago
• usail-hkust / Awesome-Causality-Inspired-GNNs
  An awesome collection of causality-inspired graph neural networks.
  ☆90Updated 11 months ago
• cmu-phil / example-causal-datasets
  Example causal datasets with consistent formatting and ground truth
  ☆94Updated 6 months ago
• Valentyn1997 / CausalTransformer
  Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"
  ☆163Updated last year
• songjiang0909 / Causal-Inference-on-Networked-Data
  Code for paper "Estimating Causal Effects on Networked Observational Data via Representation Learning"
  ☆19Updated 2 years ago
• Lancelot39 / Causal-Copilot
  ☆146Updated last month
• superkaiba / causal-llm-bfs
  Efficient Full Causal Graph Discovery Using Large Language Models
  ☆41Updated last year
• yangalan123 / TemporalPointProcessPapers
  Paper lists for Temporal Point Process
  ☆118Updated 3 months ago
• jarrycyx / UNN
  Causal Neural Nerwork
  ☆134Updated last month
• huiyang-yi / Awesome-Causality-and-ML-Papers
  关于causal discovery, invariant learning, machine learning等方向的论文阅读笔记和slides总结
  ☆33Updated 4 months ago
• Sungwon-Han / FeatLLM
  ☆39Updated last year
• py-why / pywhyllm
  Experimental library integrating LLM capabilities to support causal analyses
  ☆252Updated 3 weeks ago
• iLampard / lamp
  PyTorch implementation of the paper "Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning", NeurIPS 2023
  ☆61Updated last year
• anzhang314 / ReScore
  Official code of "Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting" (2023 ICLR)
  ☆16Updated 2 years ago
• agiresearch / InstructGLM
  Language is All a Graph Needs
  ☆262Updated 7 months ago
• ant-research / EasyTemporalPointProcess
  EasyTPP: Towards Open Benchmarking Temporal Point Processes
  ☆320Updated last week
• Wuyxin / DIR-GNN
  (ICLR 2022) Discovering Invariant Rationales for Graph Neural Networks
  ☆133Updated 2 years ago
• Zehong-Wang / Awesome-Foundation-Models-on-Graphs
  A collection of graph foundation models including papers, codes, and datasets.
  ☆121Updated 3 months ago
• matthewvowels1 / Awesome-Causal-Inference
  A curated list of awesome work on causal inference, particularly in machine learning.
  ☆108Updated 4 years ago
• HKUDS / Awesome-LLM4Graph-Papers
  [KDD'2024] "LLM4Graph: A Survey of Large Language Models for Graphs"
  ☆349Updated 7 months ago
• HaitaoMao / Awesome_Graph_Foundation_Models
  Accompanied repositories for our paper Graph foundation model
  ☆222Updated 11 months ago
• yongduosui / CAL
  [KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, X…
  ☆96Updated last year
• yaoyao-yaoyao-cell / CRCG
  AAAI 2024 Accept
  ☆18Updated last year
• jma712 / HyperSCI
  ☆45Updated last year
• ckassaad / causal_discovery_for_time_series
  Causal discovery for time series
  ☆100Updated 3 years ago
• rguo12 / network-deconfounder-wsdm20
  Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.
  ☆75Updated 4 years ago
• agiresearch / AgentRecSys
  ☆73Updated 11 months ago