Wu, Xugang
Wu, Huijun
Wang, Ruibo
Li, Duanyu
Zhou, Xu
Lu, Kai
Chapter History
First Online: 17 September 2023
Ethical Statement
: The purpose of this research is to study the performance of adaptive filters on heterophilic graphs in weakly-supervised settings. The research involves the usage of several open-sourced real-world datasets proposed and used by the heterophilic graph learning community. The potential risks associated with the research include the potential privacy issues on these datasets. We take the following measures to minimize these risks: when conducting the experiments, we will not track the original source of the dataset, but use the data anonymized by the dataset builders. The results of the research will be presented in an unbiased and objective manner.
Conference Information
Conference Acronym: ECML PKDD
Conference Name: Joint European Conference on Machine Learning and Knowledge Discovery in Databases
Conference City: Turin
Conference Country: Italy
Conference Year: 2023
Conference Start Date: 18 September 2023
Conference End Date: 22 September 2023
Conference Number: 23
Conference ID: ecml2023
Conference URL: https://2023.ecmlpkdd.org/
Peer Review Information (provided by the conference organizers)
Type: Double-blind
Conference Management System: CMT
Number of Submissions Sent for Review: 829
Number of Full Papers Accepted: 196
Number of Short Papers Accepted: 0
Acceptance Rate of Full Papers: 24% - The value is computed by the equation "Number of Full Papers Accepted / Number of Submissions Sent for Review * 100" and then rounded to a whole number.
Average Number of Reviews per Paper: 3.63
Average Number of Papers per Reviewer: 4.5
External Reviewers Involved: Yes
Additional Info on Review Process: Applied Data Science Track: 239 submissions, 58 accepted papers; Demo Track: 31 submissions, 16 accepted papers.