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Invariant Graph Learning for Causal Effect Estimation

Research article (Proceedings of the ACM Web Conference 2024, 2024) · cited 12× · AI/ML
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Authored by 7
Caizhi Tang, Junfeng Fang, Jun Zhou, Longfei Li, Qing Cui, Yongduo Sui, Zhixuan Chu
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Caizhi Tang, Junfeng Fang, Jun Zhou, Longfei Li, Qing Cui, Yongduo Sui, Zhixuan Chu
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Invariant Graph Learning for Causal Effect Estimation is a scholarly article[1].

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  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Invariant Graph Learning for Causal Effect Estimation. Retrieved May 24, 2026, from https://4ort.xyz/entity/invariant-graph-learning-for-causal-effect-estimation
MLA “Invariant Graph Learning for Causal Effect Estimation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/invariant-graph-learning-for-causal-effect-estimation.
BibTeX @misc{4ortxyz_invariant-graph-learning-for-causal-effect-estimation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Invariant Graph Learning for Causal Effect Estimation}}, year = {2026}, url = {https://4ort.xyz/entity/invariant-graph-learning-for-causal-effect-estimation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Invariant Graph Learning for Causal Effect Estimation — https://4ort.xyz/entity/invariant-graph-learning-for-causal-effect-estimation (retrieved 2026-05-24)

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