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* Fix examples on negative graph sampler

In heterogeneous graph, the old example may build a negative graph without edges. In dgl.dataloading.dataloader line637, it shows the key of neg_edges dict should be item in g.canonical_etypes.

* poke ci
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

* rename block to mfg

* revert

* rename

* [Doc] Add 1st CN in chapter 6

* [Doc] Add 1st CN in chapter 6

* [Doc] Add 1st CN in chapter 6.1

* [Doc] Add 1st CN in chapter 6.1

* [Doc] Add 1st CN in chapter 6.2

* [Doc] Add CN in chapter 6.2

* [Doc] Add CN in chapter 6.3

* [Doc] Fix a code bug in chapter 6.3

* [Doc] Add CN in chapter 6.4, 6.5, and 6.6.

* [Doc] Add CN in chapter 6.4, 6.5, and 6.6，then remove EN parts.

* [Doc] revised 6.4, 6.5, and 6.6.

* [Doc] 2nd round of copyediting.

* Delete syn1.bin

Remove this unrelated file to this branch

* [Doc] Update guide_cn index.rst.

* [Doc] Update guide_cn index.rst.

* [Doc] Update guide_cn index.rst.

* [Doc] Update guide_cn index.rst.

* [Doc] Add chapter 7 in index page

* [Doc] edit chapter 6 in PR

* [Doc] edit chapter 6 in PR

* [Doc] Copyediting with Murphy and Minjie's comments.

* [Doc] Fix doc line in the previous chapters.
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>
Co-authored-by: Mufei Li <mufeili1996@gmail.com>
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

* modify the wrong code in initialize the hetero_graph negative sampler

the etype in hetero graph should be name of edges
self.weights = {
            etype: g.in_degrees(etype=etype).float() ** 0.75
            for _, etype, _ in g.canonical_etypes
        }
the original code will give etype a Tuple format, it cannot apply to the next processing:
self.weights[etype].multinomial(len(src), replacement=True)
and I add the part which confusing me to generate eid_dict

* fix
Co-authored-by: Quan Gan <coin2028@hotmail.com>
Co-authored-by: Shaow <coco11563@yeah.net>