SunQingYun1996 / Graph-Reinforcement-Learning-Papers
A curated list of graph reinforcement learning papers.
☆64Updated 2 years ago
Related projects: ⓘ
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆53Updated 3 years ago
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆45Updated 11 months ago
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- Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks☆69Updated this week
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- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆85Updated 2 years ago
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆96Updated 2 years ago
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- The source code for NeurIPS 2020 paper "Graph Policy Network for Transferable Active Learning on Graphs"☆43Updated 3 years ago
- A graph transformer framework☆74Updated 2 years ago
- Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)☆61Updated 8 months ago
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆42Updated 8 months ago
- Influence maximization in unknown social networks: Learning Policies for Effective Graph Sampling (official code repository)☆24Updated 2 years ago
- Implementation codes for AAAI23 paper "Dynamic Heterogeneous Graph Attention Neural Architecture Search"☆17Updated last year
- Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"☆56Updated 3 years ago
- THAN: Multi-Modal Transportation Recommendation with Heterogeneous Graph Attention Networks☆11Updated 2 years ago
- ☆39Updated 3 years ago
- Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction☆65Updated 2 years ago
- How Powerful are Spectral Graph Neural Networks☆70Updated last year
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆34Updated 4 months ago
- A paper collection about automated graph learning☆93Updated 3 months ago
- reproduce two famous GNN model, GCN and GAT☆23Updated 3 years ago
- [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…☆46Updated last year
- ☆12Updated 10 months ago
- Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022☆31Updated 2 years ago
- Schedule for learning on graphs seminar☆110Updated last year
- This collection of papers can be used to summarize research about graph reinforcement learning for the convenience of researchers.☆143Updated 2 weeks ago
- Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"☆89Updated 3 years ago
- The source code of SpCo☆31Updated last year