wan19990901 / Causal-LLM-Paper
Papers collections that is related to knowledge graph, causal inference, and large language model
☆31Updated 5 months ago
Alternatives and similar repositories for Causal-LLM-Paper:
Users that are interested in Causal-LLM-Paper are comparing it to the libraries listed below
- A list of Graph Causal Learning materials.☆188Updated 9 months ago
- We organize papers related to causal that published on top conferences recently. (因果领域论文分类汇总)☆76Updated last year
- An awesome collection of causality-inspired graph neural networks.☆55Updated last month
- Code for paper "Estimating Causal Effects on Networked Observational Data via Representation Learning"☆15Updated last year
- ☆24Updated 2 months ago
- Graph Neural Networks for Tabular Data Learning (GNN4TDL)☆87Updated 8 months ago
- Accompanied repositories for our paper Graph foundation model☆172Updated 2 months ago
- GraphTranslator:Aligning Graph Model to Large Language Model for Open-ended Tasks☆93Updated 4 months ago
- Causal discovery algorithms and tools for implementing new ones☆206Updated 2 months ago
- ☆43Updated 11 months ago
- [KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, X…☆80Updated last year
- Official repository of "Can Language Models Solve Graph Problems in Natural Language?". NeurIPS 2023 (Spotlight)☆118Updated 4 months ago
- Official code of "Discovering Invariant Rationales for Graph Neural Networks" (ICLR 2022)☆123Updated last year
- PyTorch implementation of the paper "Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning", NeurIPS 2023☆56Updated last year
- 关于causal discovery, invariant learning, machine learning等方向的论文阅读笔记和slides总结☆28Updated last month
- ☆23Updated 8 months ago
- ☆87Updated last year
- ☆166Updated 9 months ago
- Paper lists for Temporal Point Process☆105Updated 3 months ago
- AAAI 2024 Accept☆15Updated 8 months ago
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆65Updated 2 years ago
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆199Updated 7 months ago
- Code and Data for "MIRAI: Evaluating LLM Agents for Event Forecasting"☆57Updated 6 months ago
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆69Updated last year
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆75Updated 3 years ago
- Official code of "Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting" (2023 ICLR)☆16Updated last year
- ☆22Updated last year
- ☆56Updated 2 years ago
- Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"☆126Updated 5 months ago
- Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…☆202Updated 7 months ago