Jiliang Tang
Michigan State University — Computer Science & Engineering · MSU Foundation Professor
Research focus: data mining · graph neural networks / graph ML · trustworthy ML · recommender systems
针对 Jiliang Tang 的预审审核：构建基于图神经网络（GNN）的拟合图谱，围绕 data mining 构建图结构，确保图数据的可信度，并涵盖 recommender systems、LLMs 及图鲁棒性/ai 等应用；请列举一篇近期论文或项目，并说明您计划在第一个学期启动的具体扩展工作。
Who this advisor fits / 什么情况下适合你
- You care about faculty-track outcomes; public alumni rows include verifiable faculty placements.
- Very strong graph/data-mining target with unusually clear faculty-placement pipeline; applicants need serious graph ML/trustworthy AI research evidence and a concrete first-paper plan.
- 你在意学术教职/教职轨去向，公开校友里有可核对的教职案例。
- 该目标在图与数据挖掘方面表现突出，且导师的岗位匹配流程清晰；申请人亟需确凿的图与信任型研究证据，并制定一份切实可行的首篇文章计划。
Public evidence as of 2026-06-10
These are decision-support signals compiled from public evidence (faculty pages, publications, lab sites) to help you ask better questions — not a ranking, rating, or allegation about this advisor. / 以上为基于公开信息整理的择校参考，帮助你提出更好的问题，并非排名、评分或对该导师的指控。
Ask a verified 学长学姐 / 同校 .edu 认证点评
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