Unbiased and efficient self-supervised incremental contrastive learning

C Ji, J Li, H Peng, J Wu, X Fu, Q Sun… - Proceedings of the …, 2023 - dl.acm.org
Contrastive Learning (CL) has been proved to be a powerful self-supervised approach for a
wide range of domains, including computer vision and graph representation learning …

[PDF][PDF] Supplementary: On the Use of Unrealistic Predictions in Hundreds of Papers Evaluating Graph Representations

LC Lin, CH Liu, CM Chen, KC Hsu, IF Wu, MF Tsai… - csie.ntu.edu.tw
Table 4 shows the data source used in experiments. The data are first preprocessed to the
data format used in the various graph embedding toolkits. Since the objective of the graph …