JIAN-TANG.COM: Keyword Density Checker

Total words: 4729 | 2-word phrases: 1185 | 3-word phrases: 1403 | 4-word phrases: 1493

PAGE INFO

Title	Try to keep the title under 60 characters (22 characters) Jian Tang’s Homepage
Description	Try to keep the meta description between 50 - 160 characters (0 characters)
Keywords	Meta keywords are not recommended anymore (0 characters)
H1	No H1 tag on the page (0 characters)

ONE WORD PHRASES 648 Words

#	Keyword	Frequency	Density
1	new	52	8.02%
2	to	37	5.71%
3	for	35	5.40%
4	at	32	4.94%
5	jian	31	4.78%
6	and	30	4.63%
7	tang	28	4.32%
8	on	24	3.70%
9	learning	22	3.40%
10	the	20	3.09%

TWO WORD PHRASES 1185 Words

#	Keyword	Frequency	Density
1	jian tang	29	2.45%
2	new i	13	1.10%
3	to appear	11	0.93%
4	appear at	10	0.84%
5	meng qu	9	0.76%
6	on learning	9	0.76%
7	chence shi	9	0.76%
8	gave a	8	0.68%
9	i gave	8	0.68%
10	a c	8	0.68%
11	at the	8	0.68%
12	representation learning	7	0.59%
13	for drug	7	0.59%
14	learning for	7	0.59%
15	drug discovery	7	0.59%
16	neural network	7	0.59%
17	2021 new	7	0.59%
18	minkai xu	7	0.59%
19	are available	7	0.59%
20	accepted to	7	0.59%

THREE WORD PHRASES 1403 Words

#	Keyword	Frequency	Density
1	to appear at	8	0.57%
2	i gave a	8	0.57%
3	new i gave	7	0.50%
4	learning for drug	6	0.43%
5	” to appear	5	0.36%
6	at neurips’21 new	5	0.36%
7	slides are available	4	0.29%
8	graph representation learning	4	0.29%
9	here new i	4	0.29%
10	for drug discovery	4	0.29%
11	graph neural network	4	0.29%
12	papers are accepted	4	0.29%
13	are accepted to	4	0.29%
14	new received a	4	0.29%
15	for more information	4	0.29%
16	appear at neurips’21	3	0.21%
17	an invited talk	3	0.21%
18	neural networks for	3	0.21%
19	graph neural networks	3	0.21%
20	at icml’21 new	3	0.21%
21	we just released	3	0.21%
22	new we just	3	0.21%
23	i gave an	3	0.21%
24	international conference on	3	0.21%
25	graphs” at the	3	0.21%
26	at the international	3	0.21%
27	gave an invited	3	0.21%
28	are available new	3	0.21%
29	shi minkai xu	3	0.21%
30	louispascal ac xhonneux	3	0.21%

FOUR WORD PHRASES 1493 Words

#	Keyword	Frequency	Density
1	new i gave a	7	0.47%
2	learning for drug discovery	4	0.27%
3	” to appear at	4	0.27%
4	gave an invited talk	3	0.20%
5	chence shi minkai xu	3	0.20%
6	appear at neurips’21 new	3	0.20%
7	i gave an invited	3	0.20%
8	available here new i	3	0.20%
9	are available here new	3	0.20%
10	papers are accepted to	3	0.20%
11	slides are available here	3	0.20%
12	for more information check	2	0.13%
13	more information check this	2	0.13%
14	information check this link	2	0.13%
15	international conference on learning	2	0.13%
16	new i gave an	2	0.13%
17	“graph representation learning for	2	0.13%
18	representation learning for drug	2	0.13%
19	learning for drug discovery”	2	0.13%
20	for drug discovery” at	2	0.13%
21	to appear at icml’21	2	0.13%
22	new we just released	2	0.13%
23	and video are available	2	0.13%
24	the international conference on	2	0.13%
25	louispascal a c xhonneux	2	0.13%
26	shengchao liu meng qu	2	0.13%
27	video are available new	2	0.13%
28	new 3 papers are	2	0.13%
29	3 papers are accepted	2	0.13%
30	rules for reasoning on	2	0.13%
31	logic rules for reasoning	2	0.13%
32	ming zhang jian tang	2	0.13%
33	available new i gave	2	0.13%
34	at the international conference	2	0.13%
35	are available new i	2	0.13%
36	to appear at neurips’21	2	0.13%
37	shitong luo chence shi	2	0.13%
38	minkai xu jian tang	2	0.13%
39	graph neural networks for	2	0.13%
40	appear at the international	2	0.13%

EXTERNAL LINKS

#	URL	Whois	Check
1	http://browsehappy.com/	Whois	browsehappy.com
2	https://tangjianpku.github.io/	Whois	github.io
3	https://tangjianpku.github.io/publications/	Whois	github.io
4	https://tangjianpku.github.io/projects/	Whois	github.io
5	https://tangjianpku.github.io/softwares/	Whois	github.io
6	https://tangjianpku.github.io/talks/	Whois	github.io
7	https://tangjianpku.github.io/teaching/	Whois	github.io
8	https://tangjianpku.github.io/students/	Whois	github.io
9	https://tangjianpku.github.io/services/	Whois	github.io
10	https://tangjianpku.github.io/cv/	Whois	github.io
11	https://twitter.com/tangjianpku	Whois	twitter.com
12	https://github.com/tangjianpku	Whois	github.com
13	https://www.weibo.com/1741301241/profile?rightmod=1&wvr=6&mod=personinfo&is_all=1	Whois	weibo.com
14	https://scholar.google.com/citations?user=1ir6WUEAAAAJ&hl=en	Whois	google.com
15	https://mila.umontreal.ca/en/	Whois	umontreal.ca
16	http://www.hec.ca/	Whois	hec.ca
17	https://www.msra.cn/	Whois	msra.cn
18	https://github.com/tangjianpku/tangjianpku.github.io/blob/master/files/CV/CV_2022.June.pdf	Whois	github.com
19	https://mila.quebec/en/admission/	Whois	mila.quebec
20	https://www.biorxiv.org/content/10.1101/2021.01.13.426593v1.full	Whois	biorxiv.org
21	https://www.nature.com/ncomms/	Whois	nature.com
22	https://torchdrug.ai/	Whois	torchdrug.ai
23	https://drive.google.com/file/d/14n70vwv5tFqxgYUlsDEspUhv58cLBFua/view?usp=sharing	Whois	google.com
24	https://www.akbc.ws/2021/	Whois	akbc.ws
25	https://gt-rl.github.io/	Whois	github.io
26	https://drive.google.com/file/d/19e0scMh4Fxzsbq6a8Z9idsYcsnLAgYAx/view?usp=sharing	Whois	google.com
27	https://drive.google.com/file/d/14GXq3h83EzvqTBkxNA4Wq5rHxQrT76xd/view?usp=sharing	Whois	google.com
28	https://deep-learning-graphs.bitbucket.io/dlg-aaai21/schedule.html	Whois	bitbucket.io
29	https://drive.google.com/file/d/1-jALWK17GjPB0EcxLZy4Zfj--lkdo99_/view?usp=sharing	Whois	google.com
30	https://drive.google.com/file/d/1e-SpcbcoRtnySYjS13k2JmgZK3zelL1T/view?usp=sharing	Whois	google.com
31	https://github.com/tangjianpku/tangjianpku.github.io/blob/master/files/ConformationGeneration_MIT_compressed.pdf	Whois	github.com
32	https://www.youtube.com/watch?v=MzO8NAMm8Ko&feature=youtu.be	Whois	youtube.com
33	https://github.com/tangjianpku/tangjianpku.github.io/blob/master/files/Knowledge%20Reasoning%20Tutorial_1105.pdf	Whois	github.com
34	https://deepgraphlearning.github.io/coursewebsite/	Whois	github.io
35	https://github.com/DeepGraphLearning/pLogicNet	Whois	github.com
36	https://graphvite.io/	Whois	graphvite.io
37	https://github.com/DeepGraphLearning/RecommenderSystems	Whois	github.com
38	https://github.com/DeepGraphLearning/KnowledgeGraphEmbedding	Whois	github.com
39	https://www.cifar.ca/cifarnews/2018/12/06/trudeau-meets-with-newly-appointed-canada-cifar-ai-chairs	Whois	cifar.ca
40	https://www.cifar.ca/cifarnews/2018/12/03/29-researchers-named-to-first-cohort-of-canada-cifar-artificial-intelligence-chairs	Whois	cifar.ca
41	https://arxiv.org/abs/2110.07728	Whois	arxiv.org
42	https://arxiv.org/abs/2106.06935	Whois	arxiv.org
43	https://arxiv.org/abs/2010.04029	Whois	arxiv.org
44	https://arxiv.org/pdf/1911.06136.pdf	Whois	arxiv.org
45	https://arxiv.org/abs/2006.13463	Whois	arxiv.org
46	https://arxiv.org/abs/2002.09127	Whois	arxiv.org
47	https://arxiv.org/pdf/2003.12725.pdf	Whois	arxiv.org
48	https://arxiv.org/pdf/1912.00967.pdf	Whois	arxiv.org
49	https://arxiv.org/pdf/2004.12485.pdf	Whois	arxiv.org
50	https://openreview.net/attachment?id=S1esMkHYPr&name=original_pdf	Whois	openreview.net
51	https://arxiv.org/abs/1908.01000	Whois	arxiv.org
52	https://arxiv.org/abs/1602.00370	Whois	arxiv.org
53	https://github.com/lferry007/LargeVis	Whois	github.com
54	https://docs.google.com/viewer?a=v&pid=sites&srcid=ZGVmYXVsdGRvbWFpbnxwa3VqaWFudGFuZ3xneDo0NjZiMWMwNzBlNzVhNmQ0	Whois	google.com
55	https://arxiv.org/abs/1503.03578	Whois	arxiv.org
56	https://github.com/tangjianpku/LINE	Whois	github.com
57	http://proceedings.mlr.press/v32/tang14.pdf	Whois	mlr.press
58	https://clustrmaps.com/site/1a4mb	Whois	clustrmaps.com
59	http://jekyllrb.com	Whois	jekyllrb.com
60	https://github.com/academicpages/academicpages.github.io	Whois	github.com
61	https://mademistakes.com/work/minimal-mistakes-jekyll-theme/	Whois	mademistakes.com