SunQingYun1996 / Graph-Reinforcement-Learning-PapersLinks
A curated list of graph reinforcement learning papers.
☆72Updated 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
Sorting:
- This collection of papers can be used to summarize research about graph reinforcement learning for the convenience of researchers.☆192Updated 11 months ago
- ☆35Updated 2 years ago
- ☆77Updated 4 years ago
- THAN: Multi-Modal Transportation Recommendation with Heterogeneous Graph Attention Networks☆14Updated 10 months ago
- ☆63Updated 4 years ago
- Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks☆75Updated last year
- FINDER - FInding key players in complex Networks through DEep Reinforcement learning (Nature Machine Intelligence)☆210Updated 2 years ago
- Official implementation of MAG-GNN: an RL-boosted graph learning framework.☆23Updated last year
- Implement of DiGCN, NeurIPS-2020☆48Updated 4 years ago
- A graph transformer framework☆77Updated 3 years ago
- Variational Graph Recurrent Neural Networks - PyTorch☆117Updated 5 years ago
- A paper collection about automated graph learning☆97Updated last year
- Implementation of Learning Combinatorial Optimization Algorithms over Graphs, by Hanjun Dai et al. (2017)☆33Updated 7 years ago
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆52Updated 2 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆81Updated 4 years ago
- Deep Learning for Predicting Dynamic Uncertain Opinions in Network Data☆30Updated 6 years ago
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆95Updated 3 years ago
- A pytorch implemention of GCN-GAN for temporal link prediction.☆104Updated 6 years ago
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆89Updated 4 years ago
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆106Updated 4 months ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆61Updated 4 years ago
- [ICLR'22][KDD'22][IJCAI'24][NeurIPS'25] Implementation of "Graph Condensation for Graph Neural Networks"☆142Updated 2 weeks ago
- Continuous-Time Link Prediction via Temporal Dependent Graph Neural Network☆26Updated 4 years ago
- ☆98Updated 4 years ago
- CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…☆94Updated 2 months ago
- Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometri…☆23Updated 3 years ago
- Official repository for AAAI'23 paper: Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph Neural Networks via Reinf…☆29Updated 2 years ago
- ☆138Updated 2 years ago
- ☆103Updated 2 years ago
- Schedule for learning on graphs seminar☆109Updated 2 years ago