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← Authors

Meng Qu

21 papers · 2016–2023 · 9 conferences · across top CS/AI conferences

Achievements

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+12 more ↓ πŸƒ Academic Marathon (7) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) 🐣 Hot Topic Early Bird
🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (33) 🌍 Conference Polyglot (9) 🧬 Topic Evolution πŸ‘₯ Mega-Team (23) 🀝 Dynamic Duo (14) πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (78) ⚑ Prolific Year (5) πŸ’Ž Century Club (21) πŸ”₯ Unstoppable (8) πŸ“ˆ Trend Setter

Conferences

EMNLP (4) ICLR (4) NIPS (4) ICML (3) AAAI (2) ACL (1) AISTATS (1) IJCAI (1) IJCNLP (1)

Top co-authors

Jian Tang (14) Xiang Ren (5) Yoshua Bengio (4) Woojeong Jin (3) Louis-Pascal Xhonneux (3) Tong Chen (2) Huiyu Cai (2) Jiawei Han (2) Cong Fu (2) Juho Kannala (1)

Keywords

graph neural network (8) node classification (4) semi-supervised learning (3) variational inference (3) message passing (2) link prediction (2) representation learning (2) reinforcement learning (2) conditional random field (2) node representation learning (2) graph reasoning (2) knowledge graph reasoning (2) node representation (2) scene graph generation (1) policy learning (1) knowledge representation (1) relation extraction (1) object recognition (1) graph representation learning (1) variational em (1)

Papers

Signed Laplacian Graph Neural Networks AAAI 2023 Learning on Large-scale Text-attributed Graphs via Variational Inference ICLR 2023 TGNN: A Joint Semi-supervised Framework for Graph-level Classification IJCAI 2022 Structured Multi-task Learning for Molecular Property Prediction AISTATS 2022 Neural Structured Prediction for Inductive Node Classification ICLR 2022 RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs ICLR 2021 Joint Modeling of Visual Objects and Relations for Scene Graph Generation NIPS 2021 GraphMix: Improved Training of GNNs for Semi-Supervised Learning AAAI 2021 Predicting Infectiousness for Proactive Contact Tracing ICLR 2021 Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs ICML 2020 Graph Policy Network for Transferable Active Learning on Graphs NIPS 2020 Recurrent Event Network: Autoregressive Structure Inferenceover Temporal Knowledge Graphs EMNLP 2020 Continuous Graph Neural Networks ICML 2020 Collaborative Policy Learning for Open Knowledge Graph Reasoning IJCNLP 2019 vGraph: A Generative Model for Joint Community Detection and Node Representation Learning NIPS 2019 Collaborative Policy Learning for Open Knowledge Graph Reasoning EMNLP 2019 GMNN: Graph Markov Neural Networks ICML 2019 Probabilistic Logic Neural Networks for Reasoning NIPS 2019 Knowledge Graph Embedding with Hierarchical Relation Structure EMNLP 2018 Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences ACL 2017 AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding EMNLP 2016