Ruiqi Hu

3 papers · 2018–2020 · 2 venues · 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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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer

Venues

IJCAI (2) AAAI (1)

Top co-authors

Guodong Long (3) Jing Jiang (3) Shirui Pan (3) Chengqi Zhang (2) Lina Yao (1) Qinghua Lu (1) Chun Wang (1) Liming Zhu (1)

Research topics

Machine Learning (3) Core Methods (3) Deep Learning (2) Architectures (2) Learning Types · Deep Learning (2) Learning Types · Machine Learning (2) Computer Vision (1) Core AI (1) Models (1) Optimization & Theory (1)

Keywords

graph embedding (2) graph clustering (2) adversarial training (1) message passing (1) variational autoencoder (1) node classification (1) neighborhood aggregation (1) graph convolution (1) variational graph autoencoder (1) graph autoencoder (1) graph convolutional network (1) network depth (1) semi-supervised node classification (1) attributed graph (1) graph pooling (1) over-smoothing problem (1) ladder network (1) graph neural network (1) ladder-shape network (1) attentional embedding (1)

Papers

Going Deep: Graph Convolutional Ladder-Shape Networks AAAI 2020 Attributed Graph Clustering: A Deep Attentional Embedding Approach IJCAI 2019 Adversarially Regularized Graph Autoencoder for Graph Embedding IJCAI 2018