SunQingYun1996 / Graph-Reinforcement-Learning-PapersLinks
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
Sorting:
- Official implementation of MAG-GNN: an RL-boosted graph learning framework.☆17Updated last year
- This collection of papers can be used to summarize research about graph reinforcement learning for the convenience of researchers.☆182Updated 6 months ago
- Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks☆74Updated 8 months ago
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆51Updated last year
- ☆35Updated 2 years ago
- 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☆81Updated 4 years ago
- Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction☆68Updated 2 years ago
- ☆96Updated 4 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…☆25Updated 2 years ago
- A graph transformer framework☆77Updated 2 years ago
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Updated last year
- Schedule for learning on graphs seminar☆109Updated last year
- ☆60Updated 4 years ago
- Variational Graph Recurrent Neural Networks - PyTorch☆116Updated 4 years ago
- The source code of SpCo☆34Updated 2 years ago
- Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs☆137Updated 2 years ago
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆103Updated 3 years ago
- ☆76Updated 3 years ago
- How Powerful are Spectral Graph Neural Networks☆72Updated last year
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆88Updated 3 years ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆82Updated 6 months ago
- Code for "Graph Structure Learning with Variational Information Bottleneck" published in AAAI 2022☆36Updated 3 years ago
- [KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, X…☆90Updated last year
- Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"☆58Updated 3 years ago
- THAN: Multi-Modal Transportation Recommendation with Heterogeneous Graph Attention Networks☆12Updated 6 months ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆65Updated last year
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 2 years ago
- Implementation of Learning Combinatorial Optimization Algorithms over Graphs, by Hanjun Dai et al. (2017)☆33Updated 7 years ago
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆58Updated last year