feat(ml): graph learning algorithm impl (10+)

[MrJs133]

This PR is derived from the project of GLCC2024: https://www.gitlink.org.cn/hugegraph/hugegraph/wiki?wiki=graph-ai-2

1. Read graphs from HugeGraph and convert them to DGL format

• Convert single graph dataset
• Convert heterogeneous graph dataset

2. Implemented 13 graph learning algorithms

• AGNN, ARMA, APPNP, Cluster-GCN, Correct and Smooth, DAGNN, DeeperGCN, P-GNN, SEAL
• GATNE, BGRL, CARE-GNN, BGNN

[simon824]

We had better list the algorithms we have implemented in a table within the readme.md

[MrJs133]

Get! Simon Cheung ***@***.***>于2024年11月7日 周四19:12写道：

…

We had better list the algorithms we have implemented in a table within the readme.md — Reply to this email directly, view it on GitHub <#102 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AYQIV65X2QWGVOFVNTDD7RLZ7NDJVAVCNFSM6AAAAABQZEJ3VSVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDINRRHE3DEMJVGE> . You are receiving this because you authored the thread.Message ID: ***@***.***>