Summary of Tcgu: Data-centric Graph Unlearning Based on Transferable Condensation, by Fan Li et al.
TCGU: Data-centric Graph Unlearning based on Transferable Condensationby Fan Li, Xiaoyang Wang, Dawei Cheng, Wenjie…
TCGU: Data-centric Graph Unlearning based on Transferable Condensationby Fan Li, Xiaoyang Wang, Dawei Cheng, Wenjie…
Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuningby Lequan Lin, Dai…
When Graph Neural Networks Meet Dynamic Mode Decompositionby Dai Shi, Lequan Lin, Andi Han, Zhiyong…
BSG4Bot: Efficient Bot Detection based on Biased Heterogeneous Subgraphsby Hao Miao, Zida Liu, Jun GaoFirst…
Defense-as-a-Service: Black-box Shielding against Backdoored Graph Modelsby Xiao Yang, Kai Zhou, Yuni Lai, Gaolei LiFirst…
Unveiling the Impact of Local Homophily on GNN Fairness: In-Depth Analysis and New Benchmarksby Donald…
Fine-Grained Expressive Power of Weisfeiler-Leman: A Homomorphism Counting Perspectiveby Junru Zhou, Muhan ZhangFirst submitted to…
LLMCO2: Advancing Accurate Carbon Footprint Prediction for LLM Inferencesby Zhenxiao Fu, Fan Chen, Shan Zhou,…
DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learningby Jiaqing Xie, Yue Zhao, Tianfan…
Rethinking GNN Expressive Power Research in the Machine Learning Community: Limitations, Issues, and Correctionsby Guanyu…