KarolisMart / AgentNetLinks
Reference implementation for Agent-based Graph Neural Networks
☆12Updated 11 months ago
Alternatives and similar repositories for AgentNet
Users that are interested in AgentNet are comparing it to the libraries listed below
Sorting:
- Official implementation of MAG-GNN: an RL-boosted graph learning framework.☆19Updated last year
- "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')☆48Updated 3 years ago
- Implementation of the SPN model and the experiments from the LoG 2022 paper "Shortest Path Networks for Graph Property Prediction".☆25Updated 2 years ago
- Official implementation of the ICML 2022 paper "Going Deeper into Permutation-Sensitive Graph Neural Networks"☆27Updated 3 years ago
- Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021☆41Updated 4 years ago
- Gradient gating (ICLR 2023)☆53Updated 2 years ago
- ☆31Updated 2 years ago
- ☆57Updated 3 years ago
- Official implementation of Inductive Logical Query Answering in Knowledge Graphs (NeurIPS 2022)☆46Updated 2 years ago
- [NeurIPS 2023] Implementation of "Transformers over Directed Acyclic Graphs"☆71Updated last month
- Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"☆42Updated 3 years ago
- [VLDB'22] SUREL is a novel walk-based computation framework for efficient subgraph-based graph representation learning.☆19Updated 3 months ago
- PyG re-implementation of Neural Bellman-Ford Networks (NeurIPS 2021)☆69Updated 2 years ago
- ☆120Updated last year
- A graph neural network tailored to directed acyclic graphs that outperforms conventional GNNs by leveraging the partial order as strong i…☆132Updated last year
- Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction☆38Updated 3 years ago
- SIGN: Scalable Inception Graph Network☆96Updated 4 years ago
- ☆13Updated 4 years ago
- ☆25Updated 4 years ago
- Code for "Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs" (NeurIPS 2020)☆18Updated 4 years ago
- ☆19Updated 3 years ago
- ☆21Updated last year
- A library for subgraph GNN based on pyg☆41Updated 7 months ago
- [TMLR] GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?☆61Updated 2 months ago
- ☆28Updated 3 years ago
- [NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch☆68Updated 2 years ago
- Extending the Neural Graph Algorithm Executor☆13Updated 2 years ago
- Size-Invariant Graph Representations for Graph Classification Extrapolations (ICML 2021 Long Talk)☆23Updated 2 years ago
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆67Updated 3 years ago
- A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in …☆30Updated 3 years ago