dmlc/dgl v2.3.0 on GitHub

Highlights

torch 2.3.1 is supported. The supported torch versions range from 2.1 to 2.3.
numpy 2.0.0 is not fully supported/compatible. We add a dependency requirement of numpy which should be <2.0.0. We'll remove such limitation in near future.
ItemSetDict has been replaced by HeteroItemSet. Please use the new class though we add an alias for deprecated one.
Incremental GPU graph caching has been added to GraphBolt in #7470, #7475, #7483. An example use is shown in #7482.
exclude_edges is enabled for distributed DGL.
From now on, we stop providing built packages for Windows and Mac. Please build and install from source code on your own.

[DistDGL] enable exclude edges sample_neighbors() by @Rhett-Ying in #7425
[DistDGL] enable exclude_edges for sample_etype_neighbors() by @Rhett-Ying in #7427
[DistDGL] fix device mismatch when calling all_to_all with gloo backend by @Rhett-Ying in #7409
[GraphBolt][CUDA] GPUCachedFeature update fix. by @mfbalin in #7384
[GraphBolt][CUDA] Make dataloader pickleable. by @mfbalin in #7391
[graphbolt] skip non-existent types in input_nodes by @Rhett-Ying in #7386
[DistPart] Fix corner case in dist partition which always led to an assertion error being triggered. by @thvasilo in #7395
[GraphBolt] Fix blocks in minibatch when facing with empty edges in subgraph. by @yxy235 in #7413
[Feature] Add check for NNZ in COOToCSR by @Skeleton003 in #7459

Full Changelog: v2.2.1...v2.3.0