← Authors

Meng Qu

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

Achievements

🐝 Cross-Pollinator (14) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (7) 🧭 Keyword Pioneer 🐣 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