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:
- ☆35Updated 2 years ago
- This collection of papers can be used to summarize research about graph reinforcement learning for the convenience of researchers.☆186Updated 8 months ago
- Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks☆75Updated 10 months ago
- Variational Graph Recurrent Neural Networks - PyTorch☆116Updated 5 years ago
- A graph transformer framework☆77Updated 3 years ago
- ☆77Updated 4 years ago
- THAN: Multi-Modal Transportation Recommendation with Heterogeneous Graph Attention Networks☆14Updated 8 months ago
- A pytorch implemention of GCN-GAN for temporal link prediction.☆105Updated 5 years ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆59Updated 4 years ago
- The source code for NeurIPS 2020 paper "Graph Policy Network for Transferable Active Learning on Graphs"☆46Updated 4 years ago
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆88Updated 3 years ago
- ☆61Updated 4 years ago
- Implementation of Learning Combinatorial Optimization Algorithms over Graphs, by Hanjun Dai et al. (2017)☆33Updated 7 years ago
- Deep Learning for Predicting Dynamic Uncertain Opinions in Network Data☆29Updated 6 years ago
- A graph neural network tailored to directed acyclic graphs that outperforms conventional GNNs by leveraging the partial order as strong i…☆134Updated last year
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆52Updated last year
- A paper collection about automated graph learning☆98Updated last year
- ☆30Updated 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…☆25Updated 2 years ago
- FINDER - FInding key players in complex Networks through DEep Reinforcement learning (Nature Machine Intelligence)☆204Updated 2 years ago
- Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022☆36Updated 3 years ago
- PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"☆41Updated last year
- Temporal IMLinUCB - a solution for Online Influence Maximization problem in Temporal Networks (based on IMLinUCB)☆16Updated last year
- Official Implementation of AdaGCN (ICLR 2021)☆62Updated 3 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆81Updated 4 years ago
- ☆97Updated 4 years ago
- GCN-GAN: A Non-linear Temporal Link Prediction Model for Weighted Dynamic Networks☆36Updated 6 years ago
- A list for GNNs and related works.☆96Updated last month
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆104Updated last month
- PyG (a geometric extension library for PyTorch) implementation of several Graph Neural Networks (GNNs): GCN, GAT, GraphSAGE, etc.☆50Updated 6 years ago