cugraph

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[FEA] Set index to `_EDGE_ID_ ` and `_VERTEX_` for `_vertex_prop_dataframe` and `_edge_prop_dataframe` to make sampling faster

3

**Describe the solution you'd like and any additional context** We should set index to `_EDGE_ID_` and `_VERTEX_` for `_vertex_prop_dataframe` and `_edge_prop_dataframe` so that when we are fetching for sampling by...

VibhuJawa

[FEA] Use category dtype in PropertyGraph DataFrames

1

**Describe the solution you'd like and any additional context** We should use category dtype for `_TYPE_` column rather than string for `_edge_prop_dataframe` and `_vertex_prop_dataframe`. This will have following benefits: 1....

VibhuJawa

[FEA] Explore saving property graph for each type in different dataframes

1

**Describe the solution you'd like and any additional context** We should explore saving property graph for each table in different dataframes for potentially saving memory and speed up.

VibhuJawa

Update MG PropertyGraph tests to have coverage at least equal to SG PropertyGraph tests

1

The current [MG PropertyGraph test module](https://github.com/rapidsai/cugraph/blob/branch-22.08/python/cugraph/cugraph/tests/mg/test_mg_property_graph.py) contains only 3 tests and they're all being skipped.

rlratzel

Not being able to install cugraph with conda

2

Hi, The conda installation process mentioned in the main README file does not work for me. I cannot reproduce the error because I've installed it successfully in the next step:...

dyumanaditya

## Report incorrect or missing documentation The sample code for edge_betweenness_centrality is wrong. shows general betweenness_centrality **Location of documentation** https://docs.rapids.ai/api/cugraph/nightly/api_docs/api/cugraph.edge_betweenness_centrality.html

BradReesWork

Removes possibility of another projects RAPIDS.cmake being used, and removes need to always download a version.

robertmaynard

[FEA] Support `sample_incoming_edges` and `sample_outgoing_edges` to uniform neighborhood sampling

1

**Describe the solution you'd like and any additional context** We should support `sample_incoming_edges` and `sample_outgoing_edges` for the uniform neighborhood sampling algorithm. Currently we only support sampling for `outgoing edges` ....

VibhuJawa

[FEA] Optimize cugraph.uniform_neighbor_sample

2

**Describe the solution you'd like and any additional context** We should optimize `cugraph.uniform_neighbor_sample`. ```python import cudf import cugraph df = cudf.read_parquet('/datasets/graph_nn/ogbn_products.parquet') G = cugraph.Graph(directed=True) G.from_cudf_edgelist(df,source='src',destination='dst',edge_attr='weight') batch = G.nodes()[0:4096] ``` ```python...

VibhuJawa

[FEA] API to reverse edges for a Graph

4

**Describe the solution you'd like and any additional context** I would like an API to reverse edges for a directed `cugraph.Graph ` . This can probably follow the reverse API...

VibhuJawa