Updated changelog

pyg-team · Oct 12, 2022 · eba3747 · eba3747
1 parent d8aeeab
commit eba3747
Showing 1 changed file with 18 additions and 5 deletions.
diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -4,7 +4,9 @@ All notable changes to this project will be documented in this file.
 The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 ## [2.2.0] - 2022-MM-DD
+
 ### Added
+
 - Added `assortativity` that computes degree assortativity coefficient ([#5587](https://github.com/pyg-team/pytorch_geometric/pull/5587))
 - Added `SSGConv` layer ([#5599](https://github.com/pyg-team/pytorch_geometric/pull/5599))
 - Added `shuffle_node`, `mask_feature` and `add_random_edge` augmentation methdos ([#5548](https://github.com/pyg-team/pytorch_geometric/pull/5548))
@@ -36,7 +38,10 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Added missing test labels in `HGBDataset` ([#5233](https://github.com/pyg-team/pytorch_geometric/pull/5233))
 - Added `BaseStorage.get()` functionality ([#5240](https://github.com/pyg-team/pytorch_geometric/pull/5240))
 - Added a test to confirm that `to_hetero` works with `SparseTensor` ([#5222](https://github.com/pyg-team/pytorch_geometric/pull/5222))
+
 ### Changed
+
+- Improved type hint support for `transforms.ToDense` ([#5668](https://github.com/pyg-team/pytorch_geometric/pull/5668))
 - Support `in_channels` with `tuple` in `GENConv` for bipartite message passing ([#5627](https://github.com/pyg-team/pytorch_geometric/pull/5627), [#5641](https://github.com/pyg-team/pytorch_geometric/pull/5641))
 - Handle cases of not having enough possible negative edges in `RandomLinkSplit` ([#5642](https://github.com/pyg-team/pytorch_geometric/pull/5642))
 - Fix `RGCN+pyg-lib` for `LongTensor` input ([#5610](https://github.com/pyg-team/pytorch_geometric/pull/5610))
@@ -51,7 +56,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Fix `to_dense_adj` with empty `edge_index` ([#5476](https://github.com/pyg-team/pytorch_geometric/pull/5476))
 - The `AttentionalAggregation` module can now be applied to compute attentin on a per-feature level ([#5449](https://github.com/pyg-team/pytorch_geometric/pull/5449))
 - Ensure equal lenghts of `num_neighbors` across edge types in `NeighborLoader` ([#5444](https://github.com/pyg-team/pytorch_geometric/pull/5444))
-- Fixed a bug in `TUDataset` in which node features were wrongly constructed whenever `node_attributes` only hold a single feature (*e.g.*, in `PROTEINS`) ([#5441](https://github.com/pyg-team/pytorch_geometric/pull/5441))
+- Fixed a bug in `TUDataset` in which node features were wrongly constructed whenever `node_attributes` only hold a single feature (_e.g._, in `PROTEINS`) ([#5441](https://github.com/pyg-team/pytorch_geometric/pull/5441))
 - Breaking change: removed `num_neighbors` as an attribute of loader ([#5404](https://github.com/pyg-team/pytorch_geometric/pull/5404))
 - `ASAPooling` is now jittable ([#5395](https://github.com/pyg-team/pytorch_geometric/pull/5395))
 - Updated unsupervised `GraphSAGE` example to leverage `LinkNeighborLoader` ([#5317](https://github.com/pyg-team/pytorch_geometric/pull/5317))
@@ -65,14 +70,18 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Fixed `Dataset.num_classes` in case a `transform` modifies `data.y` ([#5274](https://github.com/pyg-team/pytorch_geometric/pull/5274))
 - Allow customization of the activation function within `PNAConv` ([#5262](https://github.com/pyg-team/pytorch_geometric/pull/5262))
 - Do not fill `InMemoryDataset` cache on `dataset.num_features` ([#5264](https://github.com/pyg-team/pytorch_geometric/pull/5264))
-- Changed tests relying on `dblp` datasets to instead use  synthetic data ([#5250](https://github.com/pyg-team/pytorch_geometric/pull/5250))
+- Changed tests relying on `dblp` datasets to instead use synthetic data ([#5250](https://github.com/pyg-team/pytorch_geometric/pull/5250))
 - Fixed a bug for the initialization of activation function examples in `custom_graphgym` ([#5243](https://github.com/pyg-team/pytorch_geometric/pull/5243))
 - Allow any integer tensors when checking edge_index input to message passing ([5281](https://github.com/pyg-team/pytorch_geometric/pull/5281))
+
 ### Removed
+
 - Removed `scatter_reduce` option from experimental mode ([#5399](https://github.com/pyg-team/pytorch_geometric/pull/5399))
 
 ## [2.1.0] - 2022-08-17
+
 ### Added
+
 - Allow `.` in `ModuleDict` key names ([#5227](https://github.com/pyg-team/pytorch_geometric/pull/5227))
 - Added `edge_label_time` argument to `LinkNeighborLoader` ([#5137](https://github.com/pyg-team/pytorch_geometric/pull/5137), [#5173](https://github.com/pyg-team/pytorch_geometric/pull/5173))
 - Let `ImbalancedSampler` accept `torch.Tensor` as input ([#5138](https://github.com/pyg-team/pytorch_geometric/pull/5138))
@@ -89,7 +98,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Added `EdgeCNN` model ([#4991](https://github.com/pyg-team/pytorch_geometric/pull/4991))
 - Added scalable `inference` mode in `BasicGNN` with layer-wise neighbor loading ([#4977](https://github.com/pyg-team/pytorch_geometric/pull/4977))
 - Added inference benchmarks ([#4892](https://github.com/pyg-team/pytorch_geometric/pull/4892), [#5107](https://github.com/pyg-team/pytorch_geometric/pull/5107))
-- Added PyTorch 1.12 support  ([#4975](https://github.com/pyg-team/pytorch_geometric/pull/4975))
+- Added PyTorch 1.12 support ([#4975](https://github.com/pyg-team/pytorch_geometric/pull/4975))
 - Added `unbatch_edge_index` functionality for splitting an `edge_index` tensor according to a `batch` vector ([#4903](https://github.com/pyg-team/pytorch_geometric/pull/4903))
 - Added node-wise normalization mode in `LayerNorm` ([#4944](https://github.com/pyg-team/pytorch_geometric/pull/4944))
 - Added support for `normalization_resolver` ([#4926](https://github.com/pyg-team/pytorch_geometric/pull/4926), [#4951](https://github.com/pyg-team/pytorch_geometric/pull/4951), [#4958](https://github.com/pyg-team/pytorch_geometric/pull/4958), [#4959](https://github.com/pyg-team/pytorch_geometric/pull/4959))
@@ -122,7 +131,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Added `GroupAddRev` module with support for reducing training GPU memory ([#4671](https://github.com/pyg-team/pytorch_geometric/pull/4671), [#4701](https://github.com/pyg-team/pytorch_geometric/pull/4701), [#4715](https://github.com/pyg-team/pytorch_geometric/pull/4715), [#4730](https://github.com/pyg-team/pytorch_geometric/pull/4730))
 - Added benchmarks via [`wandb`](https://wandb.ai/site) ([#4656](https://github.com/pyg-team/pytorch_geometric/pull/4656), [#4672](https://github.com/pyg-team/pytorch_geometric/pull/4672), [#4676](https://github.com/pyg-team/pytorch_geometric/pull/4676))
 - Added `unbatch` functionality ([#4628](https://github.com/pyg-team/pytorch_geometric/pull/4628))
-- Confirm that `to_hetero()` works with custom functions, *e.g.*, `dropout_adj` ([4653](https://github.com/pyg-team/pytorch_geometric/pull/4653))
+- Confirm that `to_hetero()` works with custom functions, _e.g._, `dropout_adj` ([4653](https://github.com/pyg-team/pytorch_geometric/pull/4653))
 - Added the `MLP.plain_last=False` option ([4652](https://github.com/pyg-team/pytorch_geometric/pull/4652))
 - Added a check in `HeteroConv` and `to_hetero()` to ensure that `MessagePassing.add_self_loops` is disabled ([4647](https://github.com/pyg-team/pytorch_geometric/pull/4647))
 - Added `HeteroData.subgraph()`, `HeteroData.node_type_subgraph()` and `HeteroData.edge_type_subgraph()` support ([#4635](https://github.com/pyg-team/pytorch_geometric/pull/4635))
@@ -141,7 +150,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Added `HeteroData.num_features` functionality ([#4504](https://github.com/pyg-team/pytorch_geometric/pull/4504))
 - Added support for projecting features before propagation in `SAGEConv` ([#4437](https://github.com/pyg-team/pytorch_geometric/pull/4437))
 - Added `Geom-GCN` splits to the `Planetoid` datasets ([#4442](https://github.com/pyg-team/pytorch_geometric/pull/4442))
-- Added a `LinkNeighborLoader` for training scalable link predictions models [#4396](https://github.com/pyg-team/pytorch_geometric/pull/4396),  [#4439](https://github.com/pyg-team/pytorch_geometric/pull/4439),  [#4441](https://github.com/pyg-team/pytorch_geometric/pull/4441), [#4446](https://github.com/pyg-team/pytorch_geometric/pull/4446), [#4508](https://github.com/pyg-team/pytorch_geometric/pull/4508), [#4509](https://github.com/pyg-team/pytorch_geometric/pull/4509))
+- Added a `LinkNeighborLoader` for training scalable link predictions models [#4396](https://github.com/pyg-team/pytorch_geometric/pull/4396), [#4439](https://github.com/pyg-team/pytorch_geometric/pull/4439), [#4441](https://github.com/pyg-team/pytorch_geometric/pull/4441), [#4446](https://github.com/pyg-team/pytorch_geometric/pull/4446), [#4508](https://github.com/pyg-team/pytorch_geometric/pull/4508), [#4509](https://github.com/pyg-team/pytorch_geometric/pull/4509))
 - Added an unsupervised `GraphSAGE` example on `PPI` ([#4416](https://github.com/pyg-team/pytorch_geometric/pull/4416))
 - Added support for `LSTM` aggregation in `SAGEConv` ([#4379](https://github.com/pyg-team/pytorch_geometric/pull/4379))
 - Added support for floating-point labels in `RandomLinkSplit` ([#4311](https://github.com/pyg-team/pytorch_geometric/pull/4311), [#4383](https://github.com/pyg-team/pytorch_geometric/pull/4383))
@@ -156,7 +165,9 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Added the `MaskLabel` module and a corresponding masked label propagation example ([#4197](https://github.com/pyg-team/pytorch_geometric/pull/4197))
 - Added temporal sampling support to `NeighborLoader` ([#4025](https://github.com/pyg-team/pytorch_geometric/pull/4025))
 - Added an example for unsupervised heterogeneous graph learning based on "Deep Multiplex Graph Infomax" ([#3189](https://github.com/pyg-team/pytorch_geometric/pull/3189))
+
 ### Changed
+
 - Changed docstring for `RandomLinkSplit` ([#5190](https://github.com/pyg-team/pytorch_geometric/issues/5190))
 - Switched to PyTorch `scatter_reduce` implementation - experimental feature ([#5120](https://github.com/pyg-team/pytorch_geometric/pull/5120))
 - Fixed `RGATConv` device mismatches for `f-scaled` mode ([#5187](https://github.com/pyg-team/pytorch_geometric/pull/5187)]
@@ -216,5 +227,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Fixed a bug in which `nn.models.GAT` did not produce `out_channels`-many output channels ([#4299](https://github.com/pyg-team/pytorch_geometric/pull/4299))
 - Fixed mini-batching with empty lists as attributes ([#4293](https://github.com/pyg-team/pytorch_geometric/pull/4293))
 - Fixed a bug in which `GCNConv` could not be combined with `to_hetero` on heterogeneous graphs with one node type ([#4279](https://github.com/pyg-team/pytorch_geometric/pull/4279))
+
 ### Removed
+
 - Remove internal metrics in favor of `torchmetrics` ([#4287](https://github.com/pyg-team/pytorch_geometric/pull/4287))