SunQingYun1996 / Graph-Reinforcement-Learning-Papers
A curated list of graph reinforcement learning papers.
☆70Updated 3 years ago
Alternatives and similar repositories for Graph-Reinforcement-Learning-Papers:
Users that are interested in Graph-Reinforcement-Learning-Papers are comparing it to the libraries listed below
- ☆35Updated 2 years ago
- Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks☆75Updated 7 months ago
- Official implementation of MAG-GNN: an RL-boosted graph learning framework.☆17Updated last year
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆57Updated 4 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆79Updated 4 years ago
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆50Updated last year
- Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)☆64Updated last year
- Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.☆34Updated last year
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆87Updated 3 years ago
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆101Updated 3 years ago
- This collection of papers can be used to summarize research about graph reinforcement learning for the convenience of researchers.☆176Updated 5 months ago
- ☆95Updated 4 years ago
- The source code for NeurIPS 2020 paper "Graph Policy Network for Transferable Active Learning on Graphs"☆47Updated 4 years ago
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Updated last year
- Influence maximization in unknown social networks: Learning Policies for Effective Graph Sampling (official code repository)☆29Updated 2 years ago
- Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"☆58Updated 3 years ago
- Xiangguo Sun et al. Heterogeneous Hypergraph Embedding for Graph Classification, WSDM2021☆30Updated 4 years ago
- reproduce two famous GNN model, GCN and GAT☆24Updated 3 years ago
- ☆60Updated 4 years ago
- A graph transformer framework☆77Updated 2 years ago
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆56Updated last year
- [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…☆60Updated 2 years ago
- A Data-Driven Graph Generative Model for Temporal Interaction Networks☆34Updated 2 years ago
- A Collection for HGNN (Heterogenous Graph Neural Network), including datasets, algorithms and so on.☆55Updated last year
- Code for "Graph Structure Learning with Variational Information Bottleneck" published in AAAI 2022☆35Updated 3 years ago
- Reproducing the results of the paper Continuous-time Dynamic Network Embeddings☆30Updated 5 years ago
- Variational Graph Recurrent Neural Networks - PyTorch☆115Updated 4 years ago
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆43Updated last year
- ☆76Updated 3 years ago
- ☆25Updated last year