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Meng Qu

20 papers · 2016–2023 · 8 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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+10 more ↓ πŸ—ΊοΈ Taxonomy Completionist (38) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ‘₯ Mega-Team Β· Squad πŸ† Keyword Champion (2) πŸ† Grand Slam 🧬 Topic Evolution 🀝 Dynamic Duo (14) 🌈 Renaissance Researcher (6) πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (91)

Venues

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

Top co-authors

Jian Tang (14) Xiang Ren (4) Yoshua Bengio (4) Louis-Pascal Xhonneux (3) Huiyu Cai (2) Jiawei Han (2) Woojeong Jin (2) Juho Kannala (1) Xuan Wang (1) Tianyu Gao (1)

Research topics

Deep Learning (12) Machine Learning (12) Architectures (9) Artificial Intelligence (8) Core Methods (8) Core AI (5) Learning Types Β· Deep Learning (5) Learning Types Β· Machine Learning (4) Optimization & Theory (4) Knowledge & Reasoning (3) Learning Paradigms (3) Bayesian & Probabilistic (2) Models (2) Representation (2) Data Science & Analytics (1)

Keywords

graph neural network (10) variational inference (4) node classification (4) semi-supervised learning (3) conditional random field (3) link prediction (2) knowledge graph reasoning (2) node representation (2) representation learning (2) message passing (2) node representation learning (2) knowledge representation (1) relation extraction (1) expectation maximization (1) graph representation learning (1) structured prediction (1) graph analysis (1) disease surveillance (1) graph classification (1) deep learning (1)

Papers

Learning on Large-scale Text-attributed Graphs via Variational Inference ICLR 2023 Signed Laplacian Graph Neural Networks AAAI 2023 Neural Structured Prediction for Inductive Node Classification ICLR 2022 Structured Multi-task Learning for Molecular Property Prediction AISTATS 2022 TGNN: A Joint Semi-supervised Framework for Graph-level Classification IJCAI 2022 GraphMix: Improved Training of GNNs for Semi-Supervised Learning AAAI 2021 Joint Modeling of Visual Objects and Relations for Scene Graph Generation NeurIPS 2021 Predicting Infectiousness for Proactive Contact Tracing ICLR 2021 RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs ICLR 2021 Continuous Graph Neural Networks ICML 2020 Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs ICML 2020 Graph Policy Network for Transferable Active Learning on Graphs NeurIPS 2020 Recurrent Event Network: Autoregressive Structure Inferenceover Temporal Knowledge Graphs EMNLP 2020 Collaborative Policy Learning for Open Knowledge Graph Reasoning EMNLP 2019 GMNN: Graph Markov Neural Networks ICML 2019 Probabilistic Logic Neural Networks for Reasoning NeurIPS 2019 vGraph: A Generative Model for Joint Community Detection and Node Representation Learning NeurIPS 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