Rethinking multi-level information fusion in temporal graphs: Pre-training then distilling for better embedding
Summary
Rethinking multi-level information fusion in temporal graphs: Pre-training then distilling for better embedding is a scholarly article[1].
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Rethinking multi-level information fusion in temporal graphs: Pre-training then distilling for better embedding's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Rethinking multi-level information fusion in temporal graphs: Pre-training then distilling for better embedding. Retrieved May 24, 2026, from https://4ort.xyz/entity/rethinking-multi-level-information-fusion-in-temporal-graphs-pre-training-then-distilling-for-better-embedding
MLA“Rethinking multi-level information fusion in temporal graphs: Pre-training then distilling for better embedding.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/rethinking-multi-level-information-fusion-in-temporal-graphs-pre-training-then-distilling-for-better-embedding.
BibTeX@misc{4ortxyz_rethinking-multi-level-information-fusion-in-temporal-graphs-pre-training-then-distilling-for-better-embedding_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Rethinking multi-level information fusion in temporal graphs: Pre-training then distilling for better embedding}}, year = {2026}, url = {https://4ort.xyz/entity/rethinking-multi-level-information-fusion-in-temporal-graphs-pre-training-then-distilling-for-better-embedding}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Rethinking multi-level information fusion in temporal graphs: Pre-training then distilling for better embedding — https://4ort.xyz/entity/rethinking-multi-level-information-fusion-in-temporal-graphs-pre-training-then-distilling-for-better-embedding (retrieved 2026-05-24)
