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Peilan He

2 papers · 2021–2025 · 1 venue · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌉 Interdisciplinary Bridge · Bronze

Venues

IJCAI (2)

Top co-authors

Siew Kei Lam (1) Yiming He (1) Haobing Liu (1) Yidan Sun (1) Xiang Li (1) Zhongying Zhao (1) Yanwei Yu (1) Guiyuan Jiang (1)

Research topics

Deep Learning (2) Machine Learning (2) Architectures (2) Core Methods (2) Learning Types · Deep Learning (2) Data Science & Analytics (1) Applications (1) Learning Paradigms (1) Learning Types · Machine Learning (1)

Keywords

representation learning (1) link prediction (1) matrix factorization (1) self-supervised learning (1) dynamic graph (1) frequency domain (1) traffic prediction (1) temporal masking (1) frequency-domain feature (1) graph neural network (1) network representation (1) deep meta learning (1) traffic congestion prediction (1) attributed network (1) congestion evolution (1)

Papers

MaskDGNN: Self-Supervised Dynamic Graph Neural Networks with Activeness-aware Temporal Masking IJCAI 2025 Predicting Traffic Congestion Evolution: A Deep Meta Learning Approach IJCAI 2021