lars-research Goto Github PK
Name: LARS-code
Type: Organization
Bio: A compact machine learning research group focusing on automated machine learning (AutoML), meta-learning and neural architecture search (NAS).
Name: LARS-code
Type: Organization
Bio: A compact machine learning research group focusing on automated machine learning (AutoML), meta-learning and neural architecture search (NAS).
KDD-23 Automated 3D Pre-Training for Molecular Property Prediction
[KDD 2023] AdaProp: Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph Reasoning
This is the official repo for hosting datasets and code of AutoGraph challenge at KDD Cup 2020. Paper here: https://www.frontiersin.org/articles/10.3389/frai.2022.905104/full
Tutorials about AutoML
Y. Zhang, Q. Yao, J. Kwok. Bilinear Scoring Function Search for Knowledge Graph Learning. TPAMI 2022
H. Zhang, Q. Yao, M. Yang, Y. Xu, X. Bai. AutoSTR: Efficient Backbone Search for Scene Text Recognition. European Conference on Computer Vision (ECCV). 2020.
Code for ColdNAS: Search to Modulate for User Cold-Start Recommendation. WebConf 2023
[KDD 2021, Research Track] DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks
Emerging Drug Interaction Prediction Enabled by Flow-based Graph Neural Network with Biomedical Network. Nature Computational Science. 2023.
Code for "Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding" ICDE 2021
The released code for the paper: ''Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective" in WebConf 2022
Automorphic Equivalence-aware Graph Neural Network. NeurIPS 2021.
[KDD 2024] "Heuristic Learning with Graph Neural Networks: A Unified Framework for Link Prediction"
Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding. NeurIPS 2020.
KGTuner: Efficient Hyper-parameter Search for Knowledge Graph Learning" (ACL 2022 long paper)
Accurate and Interpretable Drug-drug Interaction Prediction Enabled by Knowledge Subgraph Learning. Nature Communications (Medicine).
The released code for the paper: ''Embracing Long-range Dependency in Graph Classification by Stacking Graph Neural Network" in WebConf 2023
Q. Yao, J. Xu, W. Tu, Z. Zhu. Efficient Neural Architecture Search via Proximal Iterations. AAAI 2020.
Efficient, Simple, and Automated Negative Sampling for Knowledge Graph Embedding. VLDBJ 2020.
PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction. IJCAI 2024
The released code for the paper: Pooling Architecture Search for Graph Classification, in CIKM 2021.
CIKM 2021: Pooling Architecture Search for Graph Classification
Knowledge Graph Reasoning with Relational Digraph. WebConf 2022
Relation-aware Ensemble Learning for Knowledge Graph Embedding. EMNLP. 2023
Understanding Expressivity of GNN in Rule Learning. ICLR 2024
Q. Yao, H. Yang, B. Han, G. Niu, J. Kwok. Searching to Exploit Memorization Effect in Learning from Noisy Labels. ICML 2020
Code for "Searching to Sparsify Tensor Decomposition for N-ary relational data" WebConf 2021
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China tencent open source team.