task_path
stringlengths 3
199
⌀ | dataset
stringlengths 1
128
⌀ | model_name
stringlengths 1
223
⌀ | paper_url
stringlengths 21
601
⌀ | metric_name
stringlengths 1
50
⌀ | metric_value
stringlengths 1
9.22k
⌀ |
|---|---|---|---|---|---|
Link Prediction > Inductive Link Prediction
|
ILPC22-Large
|
Inductive NodePiece
|
https://arxiv.org/abs/2203.01520v2
|
Hits@3
|
0.0542
|
Link Prediction > Inductive Link Prediction
|
ILPC22-Large
|
Inductive NodePiece
|
https://arxiv.org/abs/2203.01520v2
|
Hits@1
|
0.0373
|
Link Prediction > Inductive Link Prediction
|
ILPC22-Large
|
Inductive NodePiece
|
https://arxiv.org/abs/2203.01520v2
|
AMRI
|
0.646
|
Link Prediction > Inductive Link Prediction
|
Wikidata5M-SI
|
KGT5 (descriptions)
|
https://arxiv.org/abs/2310.11917v1
|
0-shot MRR
|
0.470
|
Link Prediction > Inductive Link Prediction
|
Wikidata5M-SI
|
KGT5-context (descriptions)
|
https://arxiv.org/abs/2310.11917v1
|
0-shot MRR
|
0.417
|
Link Prediction > Inductive Link Prediction
|
Wikidata5M-SI
|
KGT5-context (descriptions)
|
https://arxiv.org/abs/2310.11917v1
|
1-shot MRR
|
0.420
|
Link Prediction > Inductive Link Prediction
|
Wikidata5M-SI
|
KGT5-context (descriptions)
|
https://arxiv.org/abs/2310.11917v1
|
10-shot MRR
|
0.437
|
Link Prediction > Inductive Link Prediction
|
Wikidata5M-SI
|
SimKGC (descriptions)
|
https://arxiv.org/abs/2310.11917v1
|
0-shot MRR
|
0.403
|
Link Prediction > Inductive Link Prediction
|
Wikidata5M-SI
|
KGT5 (mentions)
|
https://arxiv.org/abs/2310.11917v1
|
0-shot MRR
|
0.31
|
Link Prediction > Inductive Link Prediction
|
Wikidata5M-SI
|
SimKGC (mentions)
|
https://arxiv.org/abs/2310.11917v1
|
0-shot MRR
|
0.22
|
Link Prediction > Inductive Link Prediction
|
Wikidata5M-SI
|
ComplEx + Bias * FoldIn
|
https://arxiv.org/abs/2310.11917v1
|
0-shot MRR
|
0.124
|
Link Prediction > Inductive Link Prediction
|
Wikidata5M-SI
|
HittER
|
https://arxiv.org/abs/2310.11917v1
|
0-shot MRR
|
0.019
|
Link Prediction > Inductive Link Prediction
|
Wikidata5M-SI
|
HittER
|
https://arxiv.org/abs/2310.11917v1
|
1-shot MRR
|
0.105
|
Link Prediction > Inductive Link Prediction
|
Wikidata5M-SI
|
HittER
|
https://arxiv.org/abs/2310.11917v1
|
10-shot MRR
|
0.221
|
Link Prediction > Inductive Link Prediction
|
Wikidata5M-SI
|
DistMult + ERAvg (descriptions)
|
https://arxiv.org/abs/2310.11917v1
|
1-shot MRR
|
0.278
|
Link Prediction > Inductive Link Prediction
|
Wikidata5M-SI
|
DistMult + ERAvg (descriptions)
|
https://arxiv.org/abs/2310.11917v1
|
10-shot MRR
|
0.292
|
Link Prediction > Inductive Link Prediction
|
Wikidata5M-SI
|
KGT5-context (mentions)
|
https://arxiv.org/abs/2310.11917v1
|
1-shot MRR
|
0.217
|
Link Prediction > Inductive Link Prediction
|
Wikidata5M-SI
|
KGT5-context (mentions)
|
https://arxiv.org/abs/2310.11917v1
|
10-shot MRR
|
0.311
|
Link Prediction > Inductive Link Prediction
|
Wikidata5M-SI
|
DistMult + ERAvg (mentions)
|
https://arxiv.org/abs/2310.11917v1
|
1-shot MRR
|
0.187
|
Link Prediction > Inductive Link Prediction
|
Wikidata5M-SI
|
DistMult + ERAvg (mentions)
|
https://arxiv.org/abs/2310.11917v1
|
10-shot MRR
|
0.28
|
Link Prediction > Inductive Link Prediction
|
Wikidata5M-SI
|
DistMult + ERAvg
|
https://arxiv.org/abs/2310.11917v1
|
1-shot MRR
|
0.171
|
Link Prediction > Inductive Link Prediction
|
Wikidata5M-SI
|
DistMult + ERAvg
|
https://arxiv.org/abs/2310.11917v1
|
10-shot MRR
|
0.333
|
Link Prediction > Inductive Link Prediction
|
Wikidata5M-SI
|
ComplEx + Bias + Fold in
|
https://arxiv.org/abs/2310.11917v1
|
1-shot MRR
|
0.151
|
Link Prediction > Inductive Link Prediction
|
Wikidata5M-SI
|
ComplEx + Bias + Fold in
|
https://arxiv.org/abs/2310.11917v1
|
10-shot MRR
|
0.206
|
Link Prediction > Dynamic Link Prediction
|
Enron Emails
|
Euler
|
https://www.ndss-symposium.org/ndss-paper/auto-draft-227/
|
AUC
|
93.15
|
Link Prediction > Dynamic Link Prediction
|
Enron Emails
|
Euler
|
https://www.ndss-symposium.org/ndss-paper/auto-draft-227/
|
AP
|
94.10
|
Link Prediction > Dynamic Link Prediction
|
Enron Emails
|
SI-VGRNN
|
https://arxiv.org/abs/1908.09710v3
|
AUC
|
94.44
|
Link Prediction > Dynamic Link Prediction
|
Enron Emails
|
SI-VGRNN
|
https://arxiv.org/abs/1908.09710v3
|
AP
|
93.93
|
Link Prediction > Dynamic Link Prediction
|
Enron Emails
|
teneNCE
|
https://arxiv.org/abs/2408.12753v1
|
AUC
|
93.54
|
Link Prediction > Dynamic Link Prediction
|
Enron Emails
|
teneNCE
|
https://arxiv.org/abs/2408.12753v1
|
AP
|
93.65
|
Link Prediction > Dynamic Link Prediction
|
Enron Emails
|
teneNCE
|
https://arxiv.org/abs/2408.12753v1
|
MRR
|
0.315
|
Link Prediction > Dynamic Link Prediction
|
Enron Emails
|
VGRNN
|
https://arxiv.org/abs/1908.09710v3
|
AUC
|
93.29
|
Link Prediction > Dynamic Link Prediction
|
Enron Emails
|
VGRNN
|
https://arxiv.org/abs/1908.09710v3
|
AP
|
93.10
|
Link Prediction > Dynamic Link Prediction
|
Enron Emails
|
EGCN-H
|
https://arxiv.org/abs/1902.10191v3
|
AUC
|
89.33
|
Link Prediction > Dynamic Link Prediction
|
Enron Emails
|
EGCN-H
|
https://arxiv.org/abs/1902.10191v3
|
AP
|
88.29
|
Link Prediction > Dynamic Link Prediction
|
Enron Emails
|
DynAERNN
|
https://arxiv.org/abs/1809.02657v2
|
AUC
|
89.37
|
Link Prediction > Dynamic Link Prediction
|
Enron Emails
|
DynAERNN
|
https://arxiv.org/abs/1809.02657v2
|
AP
|
87.43
|
Link Prediction > Dynamic Link Prediction
|
Enron Emails
|
EGCN-O
|
https://arxiv.org/abs/1902.10191v3
|
AUC
|
86.55
|
Link Prediction > Dynamic Link Prediction
|
Enron Emails
|
EGCN-O
|
https://arxiv.org/abs/1902.10191v3
|
AP
|
84.28
|
Link Prediction > Dynamic Link Prediction
|
WN18 (filtered)
|
ComplEx-N3 (reciprocal)
|
http://arxiv.org/abs/1806.07297v1
|
Mrr@2
|
0.9
|
Link Prediction > Dynamic Link Prediction
|
LastFM
|
DyG2Vec
|
https://arxiv.org/abs/2210.16906v3
|
AP
|
96
|
Link Prediction > Dynamic Link Prediction
|
UCI
|
DyG2Vec
|
https://arxiv.org/abs/2210.16906v3
|
AP
|
98.8
|
Link Prediction > Dynamic Link Prediction
|
Reddit
|
DyG2Vec
|
https://arxiv.org/abs/2210.16906v3
|
AP
|
99.6
|
Link Prediction > Dynamic Link Prediction
|
Enron
|
DyG2Vec
|
https://arxiv.org/abs/2210.16906v3
|
AP
|
99.1
|
Link Prediction > Dynamic Link Prediction
|
DBLP Temporal
|
teneNCE
|
https://arxiv.org/abs/2408.12753v1
|
AUC
|
88.25
|
Link Prediction > Dynamic Link Prediction
|
DBLP Temporal
|
teneNCE
|
https://arxiv.org/abs/2408.12753v1
|
AP
|
90.45
|
Link Prediction > Dynamic Link Prediction
|
DBLP Temporal
|
teneNCE
|
https://arxiv.org/abs/2408.12753v1
|
MRR
|
0.3397
|
Link Prediction > Dynamic Link Prediction
|
DBLP Temporal
|
Euler
|
https://www.ndss-symposium.org/ndss-paper/auto-draft-227/
|
AUC
|
86.54
|
Link Prediction > Dynamic Link Prediction
|
DBLP Temporal
|
Euler
|
https://www.ndss-symposium.org/ndss-paper/auto-draft-227/
|
AP
|
89.03
|
Link Prediction > Dynamic Link Prediction
|
DBLP Temporal
|
VGRNN
|
https://arxiv.org/abs/1908.09710v3
|
AUC
|
85.95
|
Link Prediction > Dynamic Link Prediction
|
DBLP Temporal
|
VGRNN
|
https://arxiv.org/abs/1908.09710v3
|
AP
|
87.77
|
Link Prediction > Dynamic Link Prediction
|
DBLP Temporal
|
SI-VGRNN
|
https://arxiv.org/abs/1908.09710v3
|
AUC
|
85.45
|
Link Prediction > Dynamic Link Prediction
|
DBLP Temporal
|
SI-VGRNN
|
https://arxiv.org/abs/1908.09710v3
|
AP
|
88.36
|
Link Prediction > Dynamic Link Prediction
|
DBLP Temporal
|
EGCN-H
|
https://arxiv.org/abs/1902.10191v3
|
AUC
|
80.80
|
Link Prediction > Dynamic Link Prediction
|
DBLP Temporal
|
EGCN-H
|
https://arxiv.org/abs/1902.10191v3
|
AP
|
83.87
|
Link Prediction > Dynamic Link Prediction
|
DBLP Temporal
|
EGCN-O
|
https://arxiv.org/abs/1902.10191v3
|
AUC
|
78.63
|
Link Prediction > Dynamic Link Prediction
|
DBLP Temporal
|
EGCN-O
|
https://arxiv.org/abs/1902.10191v3
|
AP
|
81.43
|
Link Prediction > Dynamic Link Prediction
|
DBLP Temporal
|
DynAERNN
|
https://arxiv.org/abs/1809.02657v2
|
AUC
|
76.06
|
Link Prediction > Dynamic Link Prediction
|
DBLP Temporal
|
DynAERNN
|
https://arxiv.org/abs/1809.02657v2
|
AP
|
81.84
|
Link Prediction > Dynamic Link Prediction
|
MOOC
|
DyG2Vec
|
https://arxiv.org/abs/2210.16906v3
|
AP
|
98
|
Link Prediction > Dynamic Link Prediction
|
Social Evolution
|
DyG2Vec
|
https://arxiv.org/abs/2210.16906v3
|
AP
|
98.7
|
Link Prediction > Dynamic Link Prediction
|
Wikipedia
|
DyG2Vec
|
https://arxiv.org/abs/2210.16906v3
|
AP
|
99.5
|
Link Prediction > Link prediction on DH-KGs
|
JW44K-6K
|
DHGE
|
https://arxiv.org/abs/2207.08562v4
|
LP-MRR
|
0.453
|
Link Prediction > Link prediction on DH-KGs
|
JW44K-6K
|
DHGE
|
https://arxiv.org/abs/2207.08562v4
|
LP-H@1
|
0.388
|
Link Prediction > Link prediction on DH-KGs
|
JW44K-6K
|
DHGE
|
https://arxiv.org/abs/2207.08562v4
|
LP-H@10
|
0.575
|
Link Prediction > Link prediction on DH-KGs
|
JW44K-6K
|
DHGE
|
https://arxiv.org/abs/2207.08562v4
|
ET-MRR
|
0.690
|
Link Prediction > Link prediction on DH-KGs
|
JW44K-6K
|
DHGE
|
https://arxiv.org/abs/2207.08562v4
|
ET-H@1
|
0.637
|
Link Prediction > Link prediction on DH-KGs
|
JW44K-6K
|
DHGE
|
https://arxiv.org/abs/2207.08562v4
|
ET-H@10
|
0.805
|
Word Alignment
|
en-es
|
Barycenter Alignment
|
https://arxiv.org/abs/2002.00743v2
|
P@1
|
84.26
|
Word Alignment
|
en-es
|
Adv - Refine - CSLS
|
http://arxiv.org/abs/1710.04087v3
|
P@1
|
81.7
|
Word Alignment
|
es-en
|
Barycenter Alignment
|
https://arxiv.org/abs/2002.00743v2
|
P@1
|
83.5
|
Word Alignment
|
es-en
|
Adv - Refine - CSLS
|
http://arxiv.org/abs/1710.04087v3
|
P@1
|
83.3
|
Word Alignment
|
fr-en
|
Barycenter Alignment
|
https://arxiv.org/abs/2002.00743v2
|
P@1
|
83.23
|
Word Alignment
|
fr-en
|
Adv - Refine - CSLS
|
http://arxiv.org/abs/1710.04087v3
|
P@1
|
82.1
|
Word Alignment
|
en-it
|
Barycenter Alignment
|
https://arxiv.org/abs/2002.00743v2
|
P@1
|
81.45
|
Word Alignment
|
MUSE en-pt
|
Barycenter Alignment
|
https://arxiv.org/abs/2002.00743v2
|
P@1
|
84.65
|
Word Alignment
|
MUSE en-de
|
Barycenter Alignment
|
https://arxiv.org/abs/2002.00743v2
|
P@1
|
74.08
|
Word Alignment
|
en-fr
|
Barycenter Alignment
|
https://arxiv.org/abs/2002.00743v2
|
P@1
|
82.94
|
Word Alignment
|
en-fr
|
Adv - Refine - CSLS
|
http://arxiv.org/abs/1710.04087v3
|
P@1
|
82.3
|
Super-Resolution
|
hradis et al dataset
|
super-resolution
|
https://arxiv.org/abs/2201.05865v1
|
Average PSNR
|
20.406
|
Super-Resolution
|
hradis et al dataset
|
super-resolution
|
https://arxiv.org/abs/2201.05865v1
|
SSIM
|
0.877
|
Super-Resolution > Image Super-Resolution
|
Chikusei Dataset
|
DIP-HyperKite (ours)
|
https://arxiv.org/abs/2107.02630v1
|
PSNR
|
43.53
|
Super-Resolution > Image Super-Resolution
|
Urban100 - 8x upscaling
|
DRLN+
|
https://arxiv.org/abs/1906.12021v2
|
PSNR
|
23.24
|
Super-Resolution > Image Super-Resolution
|
Urban100 - 8x upscaling
|
DRLN+
|
https://arxiv.org/abs/1906.12021v2
|
SSIM
|
0.6523
|
Super-Resolution > Image Super-Resolution
|
Urban100 - 8x upscaling
|
DBPN-RES-MR64-3
|
https://arxiv.org/abs/1904.05677v2
|
PSNR
|
23.2
|
Super-Resolution > Image Super-Resolution
|
Urban100 - 8x upscaling
|
DBPN-RES-MR64-3
|
https://arxiv.org/abs/1904.05677v2
|
SSIM
|
0.652
|
Super-Resolution > Image Super-Resolution
|
Urban100 - 8x upscaling
|
HAN+
|
https://arxiv.org/abs/2008.08767v1
|
PSNR
|
23.20
|
Super-Resolution > Image Super-Resolution
|
Urban100 - 8x upscaling
|
HAN+
|
https://arxiv.org/abs/2008.08767v1
|
SSIM
|
0.6518
|
Super-Resolution > Image Super-Resolution
|
Urban100 - 8x upscaling
|
HBPN
|
https://arxiv.org/abs/1906.06874v2
|
PSNR
|
23.04
|
Super-Resolution > Image Super-Resolution
|
Urban100 - 8x upscaling
|
HBPN
|
https://arxiv.org/abs/1906.06874v2
|
SSIM
|
0.647
|
Super-Resolution > Image Super-Resolution
|
Urban100 - 8x upscaling
|
ABPN
|
https://arxiv.org/abs/1910.04476v1
|
PSNR
|
23.04
|
Super-Resolution > Image Super-Resolution
|
Urban100 - 8x upscaling
|
ABPN
|
https://arxiv.org/abs/1910.04476v1
|
SSIM
|
0.641
|
Super-Resolution > Image Super-Resolution
|
Set5 - 6x upscaling
|
HyperRes
|
https://arxiv.org/abs/2206.05970v3
|
PSNR
|
24.92
|
Super-Resolution > Image Super-Resolution
|
Set5 - 6x upscaling
|
HyperRes
|
https://arxiv.org/abs/2206.05970v3
|
SSIM
|
0.71
|
Super-Resolution > Image Super-Resolution
|
BSD200 - 2x upscaling
|
CSRCNN
|
https://arxiv.org/abs/2008.10329v2
|
PSNR
|
32.92
|
Super-Resolution > Image Super-Resolution
|
BSD200 - 2x upscaling
|
CSRCNN
|
https://arxiv.org/abs/2008.10329v2
|
SSIM
|
0.9122
|
Super-Resolution > Image Super-Resolution
|
Middlebury - 4x upscaling
|
PASSRnet
|
http://arxiv.org/abs/1903.05784v3
|
PSNR
|
28.63
|
Super-Resolution > Image Super-Resolution
|
Manga109 - 16x upscaling
|
ABPN
|
https://arxiv.org/abs/1910.04476v1
|
PSNR
|
21.25
|
Super-Resolution > Image Super-Resolution
|
Manga109 - 16x upscaling
|
ABPN
|
https://arxiv.org/abs/1910.04476v1
|
SSIM
|
0.673
|
Super-Resolution > Image Super-Resolution
|
BSD100 - 2x upscaling
|
WaveMixSR-V2
|
https://arxiv.org/abs/2409.10582v3
|
PSNR
|
33.12
|
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