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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