TrustAGI Lab


Trustworthy AGI (TrustAGI) Lab at Griffith University is at the forefront of pioneering research in Artificial General Intelligence (AGI), focusing on developing ethical, reliable, and safe AI technologies. This leading lab is dedicated to advancing the understanding and application of AGI through innovative projects, publications, and collaborations.

Latest News

  • [KDD x4]: Four papers were accepted at KDD-24 (CORE A*/CCF A) (5/2024).
  • [Nature Series x1]: Paper was accepted at Nature Machine Intelligence (4/2024).
  • [ICML x5]: Five papers were accepted at ICML-24(CORE A*/CCF A) (Shirui Pan x4, Leo Zhang x1) (4/2024).
  • [IJCAI x7]: Seven papers were accepted at IJCAI-24(CORE A*/CCF A) (Shirui Pan x5, Leo Zhang x2) (4/2024).
  • [ICDE x1]: One paper on fairness and privacy of GNNs were accepted at ICDE (03/2024).
  • [PIEEE x2]: Two papers on GNNs were accepted at Proceedings of the IEEE (IF: 20.6, the oldest journal in IEEE with over 110 years of history) (02/2024).
  • [ICLR x3]: Three papers on LLMs and GNNs were accepted at ICLR-2024 (CORE A*) (01/2024).
  • [AAAI x7]: Seven papers were accepted at AAAI-24(CORE A*/CCF A) (Shirui Pan x5, Leo Zhang x3) (12/2023).
  • [WWW x2]: Two papers on GNNs were accepted at WWW (CORE A*/CCF A) (11/2023).
  • [S&P x4]: Four papers on security and privacy of GNNs were accepted at IEEE S&P-2024(CORE A*/CCFA, Top Security Conferences) (Shirui Pan x1, Leo Zhang x3)(11/2023).
  • [NDSS x1]: One paper on security and privacy of GNNs was accepted at NDSS-2024 (CORE A*/CCF A, Top Security Conferences) (11/2023).
  • [TKDE x1]: A Roadmap on Unifying LLMs and Knowledge Graphs is released (01/2024).
More News
  • [NeurIPS x3]: Three papers on graph neural networks were accepted at NeurIPS-23 (09/2023).
  • [IJCNN-Tutorial]: A tutorial on Graph Self-supervised Learning presented at IJCNN-2023 (07/2023).
  • [ACL x1]: One paper on knowledge graph was accepted by ACL-2023 (04/2023).
  • [ICML x2]: Two papers on graph neural networks were accepted in top conferences: ICML-23 (x2)(04/2023).
  • [SIGIR x1]: One paper on graph neural networks were accepted at SIGIR-23 (x1) (04/2023).
  • [IJCAI x1]: One paper on graph neural networks were accepted at IJCAI-23 (x1) (04/2023).
  • [WWW x4]: Four papers on graph neural networks were accepted by WWW-2023 (01/2023).
  • [AAAI x3]: Three papers on graph neural networks were accepted by AAAI-2023 (11/2022).