Poster "graph contrastive learning" Papers

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CaliGCL: Calibrated Graph Contrastive Learning via Partitioned Similarity and Consistency Discrimination

Yuena Lin, Hao Wei, Hai-Chun Cai et al.

Coloring Learning for Heterophilic Graph Representation

Miaomiao Huang, Yuhai Zhao, Daniel Zhengkui Wang et al.

DecoyDB: A Dataset for Graph Contrastive Learning in Protein-Ligand Binding Affinity Prediction

Yupu Zhang, Zelin Xu, Tingsong Xiao et al.

NEURIPS 2025arXiv:2507.06366

Negative Feedback Really Matters: Signed Dual-Channel Graph Contrastive Learning Framework for Recommendation

Leqi Zheng, Chaokun Wang, Zixin Song et al.

Community-Invariant Graph Contrastive Learning

Shiyin Tan, Dongyuan Li, Renhe Jiang et al.

ICML 2024arXiv:2405.01350

Disentangled Graph Self-supervised Learning for Out-of-Distribution Generalization

Haoyang Li, Xin Wang, Zeyang Zhang et al.

Efficient Contrastive Learning for Fast and Accurate Inference on Graphs

Teng Xiao, Huaisheng Zhu, Zhiwei Zhang et al.

Multimodal Patient Representation Learning with Missing Modalities and Labels

Zhenbang Wu, Anant Dadu, Nicholas Tustison et al.

Perfect Alignment May be Poisonous to Graph Contrastive Learning

Jingyu Liu, Huayi Tang, Yong Liu

ICML 2024arXiv:2310.03977

S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning

Guancheng Wan, Yijun Tian, Wenke Huang et al.

Unsupervised Episode Generation for Graph Meta-learning

Jihyeong Jung, Sangwoo Seo, Sungwon Kim et al.

ICML 2024arXiv:2306.15217