GraphGPS
diffnet
| GraphGPS | diffnet | |
|---|---|---|
| 1 | 1 | |
| 599 | 169 | |
| - | - | |
| 0.0 | 0.0 | |
| 4 months ago | 10 months ago | |
| Python | Python | |
| MIT License | MIT License |
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GraphGPS
diffnet
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What papers are there on decoding the results of training a network and recasting them?
You seem to like diffusion nets a lot, so here's code for one: https://github.com/PeiJieSun/diffnet Have fun going through the code, every single thing will be explicitly defined at some point in those files.
What are some alternatives?
graphtransformer - Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
gnn - TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
chemicalx - A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
awesome-drug-pair-scoring - Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)
efficient-gnns - Code and resources on scalable and efficient Graph Neural Networks
gnn-lspe - Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
HybridTSPSolver - A hybrid TSP solver that I made for my master's degree thesis in computer science.
awesome-graph-classification - A collection of important graph embedding, classification and representation learning papers with implementations.
pytorch_geometric_temporal - PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
PDN - The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)