[Diff since GNNlib-v1.2.0](GNNlib-v1.2.0...GNNlib-v1.2.1)

**Merged pull requests:**
- Fix: fixed GMMconv implementation (#645) (@Parvm1102)
- Bump DataStructures compat (#670) (@simsurace)

**Closed issues:**
- Missing negative sign in gmm_conv (#644)

[Diff since GNNlib-v1.1.0](GNNlib-v1.1.0...GNNlib-v1.2.0)

**Merged pull requests:**
- feat: Reduce nodes over heterogeneous graphs (#634) (@lenianiva)
- fix: Empty edge handling in `softmax_edge_neighbors` (#636) (@lenianiva)

**Closed issues:**
- AMDGPU tests are failing (#632)

[Diff since GraphNeuralNetworks-v1.0.0](GraphNeuralNetworks-v1.0.0...…

…GraphNeuralNetworks-v1.1.0)

**Merged pull requests:**
- [GNNFlux] Translate Pluto notebooks to Literate (#569) (@aurorarossi)
- no constraints on numbers of features gdata for heterographs (#570) (@CarloLucibello)
- [GNNFlux] Translate `Traffic prediction` Pluto notebook to Literate (#572) (@aurorarossi)
- port GNNGraphs tests to TestItems.jl (#573) (@CarloLucibello)
- [GNNFlux] Fix `Temporal graph classification` tutorial (#575) (@aurorarossi)
- add reference to PyGDatasets (#578) (@CarloLucibello)
- fix GNNGraphs zygote error (#579) (@CarloLucibello)
- bump KrilovKit (#587) (@CarloLucibello)
- better inference for num_nodes (#588) (@CarloLucibello)
- fix corner case in normalize_graphdata (#589) (@CarloLucibello)
- Feature: TGCN should support non linear_activations (#596) (@juanmigutierrez)
- Provide CUDA support for the binarize() operation on sparse matrices (#601) (@dferre97)
- port tutorials from Literate to plain Documenter (#602) (@CarloLucibello)
- SpMM message passing CUDA support for coalesced COO graphs (#617) (@dferre97)
- fmt option in adjaceny matrix + propagate copy_xj for Metal (#619) (@CarloLucibello)

**Closed issues:**
- GraphNeuralNetworks.jl 1.0 release (#481)
- Can't create a GNNGraph over degenerate graph with just a single vertex (#580)
- GNNGraph default num_nodes to length of element of ndata (#581)
- Can't have empty edata for graph with no edges (#582)
- Generating and Feeding a Custom Dataset into T-GCN (#583)
- In Literate-generated tutorials the input code and the output have the same style (#590)
- GNNGraph constructor is type unstable (#593)
- Moving GNNGraph from GPU to CPU breaks Zygote gradient computation (#597)
- GNNChain doesn't work with layers that accept edge features (#598)
- UndefVarError:  `ones_like` not defined in `GNNLib` in SGConv example (#599)
- add output format option to `adjacency_matrix` arguments (#606)
- add coalesce function (#608)

[Diff since GNNlib-v1.0.1](GNNlib-v1.0.1...GNNlib-v1.1.0)

**Merged pull requests:**
- SpMM message passing CUDA support for coalesced COO graphs (#617) (@dferre97)
- fmt option in adjaceny matrix + propagate copy_xj for Metal (#619) (@CarloLucibello)

**Closed issues:**

This release has been identified as a backport.

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**Merged pull requests:**
- Documentation with `MultiDocumenter.jl` (#508) (@aurorarossi)
- buildkite for GNNlib + get_graph_type (#530) (@CarloLucibello)

**Closed issues:**
- plan for splitting the package (#450)

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This release has been identified as a backport.

Automated changelogs for backports tend to be wildly incorrect.
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This release has been identified as a backport.

Automated changelogs for backports tend to be wildly incorrect.
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[Diff since GNNGraphs-v1.4.2](GNNGraphs-v1.4.2...GNNGraphs-v1.5.0)

**Merged pull requests:**
- Provide CUDA support for the binarize() operation on sparse matrices (#601) (@dferre97)

**Closed issues:**
- Generating and Feeding a Custom Dataset into T-GCN (#583)
- GNNGraph constructor is type unstable (#593)
- Moving GNNGraph from GPU to CPU breaks Zygote gradient computation (#597)
- add output format option to `adjacency_matrix` arguments (#606)
- add coalesce function (#608)