Summary of Towards Fair Graph Neural Networks Via Graph Counterfactual Without Sensitive Attributes, by Xuemin Wang et al.
Towards Fair Graph Neural Networks via Graph Counterfactual without Sensitive Attributesby Xuemin Wang, Tianlong Gu,…
Towards Fair Graph Neural Networks via Graph Counterfactual without Sensitive Attributesby Xuemin Wang, Tianlong Gu,…
Llama 3 Meets MoE: Efficient Upcyclingby Aditya Vavre, Ethan He, Dennis Liu, Zijie Yan, June…
EP-CFG: Energy-Preserving Classifier-Free Guidanceby Kai Zhang, Fujun Luan, Sai Bi, Jianming ZhangFirst submitted to arxiv…
What constitutes a Deep Fake? The blurry line between legitimate processing and manipulation under the…
GraSP: Simple yet Effective Graph Similarity Predictionsby Haoran Zheng, Jieming Shi, Renchi YangFirst submitted to…
Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspectiveby Yuchen Fang, Yuxuan Liang,…
Matrix Completion via Residual Spectral Matchingby Ziyuan Chen, Fang YaoFirst submitted to arxiv on: 13…
Real-Time Fall Detection Using Smartphone Accelerometers and WiFi Channel State Informationby Lingyun Wang, Deqi Su,…
Text2Cypher: Bridging Natural Language and Graph Databasesby Makbule Gulcin Ozsoy, Leila Messallem, Jon Besga, Gianandrea…
A Survey on Knowledge Graph Structure and Knowledge Graph Embeddingsby Jeffrey Sardina, John D. Kelleher,…