Adds the refactored Rep information

README.md

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-[RAPIDS](https://rapids.ai) cuGraph is a monorepo that represents a collection of packages focused on GPU-accelerated graph analytics, including support for property graphs, remote (graph as a service) operations, and graph neural networks (GNNs).  cuGraph supports the creation and manipulation of graphs followed by the execution of scalable fast graph algorithms.
+[RAPIDS](https://rapids.ai) cuGraph is a repo that represents a collection of packages focused on GPU-accelerated graph analytics including support for property graphs and remote (graph as a service) operations.  cuGraph supports the creation and manipulation of graphs followed by the execution of scalable fast graph algorithms.
+
+# NOTICE -- the cuGraph repository has been refactored to make it more efficient to build, maintain and use.
+
+cuGraph code supporting GNNs is now located in the [cugraph-gnn repository](https://github.com/rapidsai/cugraph-gnn)
+
+This repository, cugraph-gnn, contains:
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+* [pylibwholegraph](https://github.com/rapidsai/cugraph-gnn/tree/branch-25.02/python/) - the [Wholegraph](https://docs.rapids.ai/api/cugraph/nightly/wholegraph/) library for client memory management supporting both cuGraph-DGL and cuGraph-PyG for even greater scalability
+* [cugraph_dgl](https://github.com/rapidsai/cugraph-gnn/blob/main/readme_pages/cugraph_dgl.md)  enables the ability to use cugraph Property Graphs with Deep Graph Library (DGL)
+* [cugraph_pyg](https://github.com/rapidsai/cugraph-gnn/blob/main/readme_pages/cugraph_pyg.md) enables the ability to use cugraph Property Graphs with PyTorch Geometric (PyG).
+
+Code for cuGraph as a NetworkX backend is now located in the [RAPIDS nx-cugraph repository](https://github.com/rapidsai/nx-cugraph)
+* [nx-cugraph library](https://github.com/rapidsai/nx-cugraph) is a backend to NetworkX to run supported algorithms with GPU acceleration.
+
+The cugraph-docs repository contains code to generate cuGraph documentation. It is now located in the [cugraph-docs repository](https://docsgithub.com/rapidsai/cugraph-docs)
 
 <div align="center">
 
-[Getting cuGraph](./docs/cugraph/source/installation/getting_cugraph.md) *
-[Graph Algorithms](./docs/cugraph/source/graph_support/algorithms.md) *
+[Getting cuGraph](https://docs.rapids.ai/api/cugraph/nightly/) *
+[Graph Algorithms](https://docs.rapids.ai/api/cugraph/nightly/graph_support/algorithms/) *
 [Graph Service](./readme_pages/cugraph_service.md) *
 [Property Graph](./readme_pages/property_graph.md) *
-[GNN Support](./readme_pages/gnn_support.md)
 
 </div>