[Feature] Add a use_ddp flag to PyTorch Node/Edge/GraphDataLoaders for multi-GPU training
[Feature] Python interface for adjacency matrix summation and multiplication
[Feature] Add bruteforce implementation for KNN with O(Nk) space complexity
[NN] Frequency Adaptation Graph Convolutional Networks
[NN] Small bug fix for out_feat = 1 with self loops
[NN] GCNII model added <https://arxiv.org/pdf/2007.02133.pdf>
[Feature], [Model] Add node2vec random walk and model
[Feature] Add max_inf and min_inf reducers that does not replace infinities with zero
[Feature][Performance] Implement NCCL wrapper for communicating NodeEmbeddings and sparse gradients.
[Feature] Allow using NCCL for communication in dgl.NodeEmbedding and dgl.SparseOptimizer
[Benchmark] Fix for the model_speed benchmarks results stability
[WIP][performance] Implement segment gemm with multiple cuda streams.
[Example] Add distributed partitioning for homogeneous graphs
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