Summary of Unigraph: Learning a Unified Cross-domain Foundation Model For Text-attributed Graphs, by Yufei He et al.
UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphsby Yufei He, Yuan Sui, Xiaoxin…
Summary of Analysis Of Using Sigmoid Loss For Contrastive Learning, by Chungpa Lee et al.
Analysis of Using Sigmoid Loss for Contrastive Learningby Chungpa Lee, Joonhwan Chang, Jy-yong SohnFirst submitted…
Summary of Indiscriminate Data Poisoning Attacks on Pre-trained Feature Extractors, by Yiwei Lu et al.
Indiscriminate Data Poisoning Attacks on Pre-trained Feature Extractorsby Yiwei Lu, Matthew Y.R. Yang, Gautam Kamath,…
Summary of Feudal Networks For Visual Navigation, by Faith Johnson et al.
Feudal Networks for Visual Navigationby Faith Johnson, Bryan Bo Cao, Ashwin Ashok, Shubham Jain, Kristin…
Summary of Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning, by Jihai Zhang et al.
Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learningby Jihai Zhang, Xiang Lan, Xiaoye Qu,…
Summary of Slade: Detecting Dynamic Anomalies in Edge Streams Without Labels Via Self-supervised Learning, by Jongha Lee et al.
SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via Self-Supervised Learningby Jongha Lee, Sunwoo…
Summary of Beyond Generalization: a Survey Of Out-of-distribution Adaptation on Graphs, by Shuhan Liu et al.
Beyond Generalization: A Survey of Out-Of-Distribution Adaptation on Graphsby Shuhan Liu, Kaize DingFirst submitted to…
Summary of Symbolic Autoencoding For Self-supervised Sequence Learning, by Mohammad Hossein Amani et al.
Symbolic Autoencoding for Self-Supervised Sequence Learningby Mohammad Hossein Amani, Nicolas Mario Baldwin, Amin Mansouri, Martin…
Summary of Pretext Training Algorithms For Event Sequence Data, by Yimu Wang et al.
Pretext Training Algorithms for Event Sequence Databy Yimu Wang, He Zhao, Ruizhi Deng, Frederick Tung,…
Summary of Logelectra: Self-supervised Anomaly Detection For Unstructured Logs, by Yuuki Yamanaka et al.
LogELECTRA: Self-supervised Anomaly Detection for Unstructured Logsby Yuuki Yamanaka, Tomokatsu Takahashi, Takuya Minami, Yoshiaki NakajimaFirst…