Graph Neural Networks

Neural Sentence Ordering Based on Constraint Graphs AAAI 2021 Neural Trees for Learning on Graphs NeurIPS 2021 NeuroMLR: Robust & Reliable Route Recommendation on Road Networks NeurIPS 2021 NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go CVPR 2021 NGC: A Unified Framework for Learning With Open-World Noisy Data ICCV 2021 NN-Baker: A Neural-network Infused Algorithmic Framework for Optimization Problems on Geometric Intersection Graphs NeurIPS 2021 Node Dependent Local Smoothing for Scalable Graph Learning NeurIPS 2021 Node-wise Localization of Graph Neural Networks IJCAI 2021 Not All Low-Pass Filters are Robust in Graph Convolutional Networks NeurIPS 2021 Not All Operations Contribute Equally: Hierarchical Operation-Adaptive Predictor for Neural Architecture Search ICCV 2021 Object DGCNN: 3D Object Detection using Dynamic Graphs NeurIPS 2021 ODAM: Object Detection, Association, and Mapping Using Posed RGB Video ICCV 2021 On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections ICLR 2021 One-shot Graph Neural Architecture Search with Dynamic Search Space AAAI 2021 On Explainability of Graph Neural Networks via Subgraph Explorations ICML 2021 On Graph Neural Networks versus Graph-Augmented MLPs ICLR 2021 Online Graph Dictionary Learning ICML 2021 On Provable Benefits of Depth in Training Graph Convolutional Networks NeurIPS 2021 On Self-Distilling Graph Neural Network IJCAI 2021 On the Bottleneck of Graph Neural Networks and its Practical Implications ICLR 2021 On the Power of Edge Independent Graph Models NeurIPS 2021 On the Universality of Graph Neural Networks on Large Random Graphs NeurIPS 2021 On the Universality of Rotation Equivariant Point Cloud Networks ICLR 2021 Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth ICML 2021 Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning ICLR 2021