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Node Classification on Non-Homophilic (Heterophilic) Graphs archive 2025-07-28

Cornell (60%/20%/20% random splits) Benchmark (Node Classification on Non-Homophilic (Heterophilic) Graphs)

33 rows 33 with code listed 1 metric Dataset page

There exists a non-trivial set of graphs where graph-aware models underperform their corresponding graph-agnostic models, e.g. SGC and GCN underperform MLP with 1 layer and 2 layers. Although still controversial, people believe the performance degradation results from heterophily, i.e. there exist much more inter-class edges than inner-class edges. This task aims to evaluate models designed for non-homophilic (heterophilic) datasets.

The archive carries no text for this table; the description above is the archive's text for the task Node Classification on Non-Homophilic (Heterophilic) Graphs. archive 2025-07-28

Over time archive 2025-07-28

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Direction inferred from the metric name, not from the archive: 1:1 Accuracy (higher is better). Points are placed at the row's paper date; 33 of 33 rows carry one.

Results archive 2025-07-28

Archive rows end at the archive snapshot, 2025-07-28: no result published after that date is in this table. Rank is the archive's row order at that snapshot; not re-ranked here. Metric values are the archive's strings. Column headers sort the table in your browser; each row keeps its archive rank.

Paper Code Ran Syntology Report
1 ACMII-GCN 95.9 ± 1.83 – Paper Code 2022 2 of 7 ran · 5 unverified report
2 ACMII-Snowball-2 95.25 ± 1.55 – Paper Code 2022 2 of 7 ran · 5 unverified report
3 ACM-Snowball-2 95.08 ± 3.11 – Paper Code 2022 2 of 7 ran · 5 unverified report
4 ACM-GCN+ 94.92 ± 2.79 – Paper Code 2022 2 of 7 ran · 5 unverified report
5 ACM-GCN 94.75 ± 3.8 – Paper Code 2022 2 of 7 ran · 5 unverified report
6 ACM-Snowball-3 94.26 ± 2.57 – Paper Code 2022 2 of 7 ran · 5 unverified report
7 ACM-GCN++ 93.93 ± 1.05 – Paper Code 2022 2 of 7 ran · 5 unverified report
8 ACMII-GCN+ 93.93 ± 3.03 – Paper Code 2022 2 of 7 ran · 5 unverified report
9 ACM-SGC-2 93.77 ± 2.17 – Paper Code 2022 2 of 7 ran · 5 unverified report
10 ACM-SGC-1 93.77 ± 1.91 – Paper Code 2022 2 of 7 ran · 5 unverified report
11 ACMII-Snowball-3 93.61 ± 2.79 – Paper Code 2022 2 of 7 ran · 5 unverified report
12 ACM-GCNII* 93.44 ± 2.74 – Paper Code 2022 2 of 7 ran · 5 unverified report
13 ACMII-GCN++ 92.62 ± 2.57 – Paper Code 2022 2 of 7 ran · 5 unverified report
14 ACM-GCNII 92.62 ± 3.13 – Paper Code 2022 2 of 7 ran · 5 unverified report
15 BernNet 92.13 ± 1.64 – Paper Code 2021 0 of 1 ran · 1 unverified report
16 APPNP 91.80 ± 0.63 – Paper Code 2018 1 of 12 ran · 11 unverified report
17 GPRGNN 91.36 ± 0.70 – Paper Code 2020 0 of 2 ran · 2 unverified report
18 MLP-2 91.30 ± 0.70 – Paper Code 2020 0 of 2 ran · 2 unverified report
19 GCNII* 90.49 ± 4.45 – Paper Code 2020 5 of 7 ran · 2 unverified report
20 GCNII 89.18 ± 3.96 – Paper Code 2020 5 of 7 ran · 2 unverified report
21 FAGCN 88.03 ± 5.6 – Paper Code 2021 linked, not harvested report
22 H2GCN 86.23 ± 4.71 – Paper Code 2020 13 of 21 ran · 8 unverified report
23 Snowball-3 82.95 ± 2.1 – Paper Code 2019 1 of 9 ran · 8 unverified report
24 Snowball-2 82.62 ± 2.34 – Paper Code 2019 1 of 9 ran · 8 unverified report
25 GCN 82.46 ± 3.11 – Paper Code 2016 31 of 58 ran · 27 unverified report
26 GAT 76.00 ± 1.01 – Paper Code 2017 50 of 106 ran · 56 unverified report
27 GAT+JK 74.43 ± 10.24 – Paper Code 2022 2 of 7 ran · 5 unverified report
28 SGC-2 72.62 ± 9.92 – Paper Code 2019 3 of 8 ran · 5 unverified report
29 GraphSAGE 71.41 ± 1.24 – Paper Code 2017 3 of 5 ran · 2 unverified report
30 SGC-1 70.98 ± 8.39 – Paper Code 2019 3 of 8 ran · 5 unverified report
31 GCN+JK 66.56 ± 13.82 – Paper Code 2022 2 of 7 ran · 5 unverified report
32 Geom-GCN* 60.81 – Paper Code 2020 7 of 7 ran · 0 unverified report
33 MixHop 60.33 ± 28.53 – Paper Code 2019 linked, not harvested report

All 33 rows shown. 33 link to a paper page on this site; 0 are marked as using additional training data in the archive. No GitHub stars are tracked; "Code" is the first repository the archive lists for the row. The archive carries no row tags, review links or community-submitted rows for this table; none are shown. archive 2025-07-28

Syntology Ran reads "N of M ran · U unverified": of the M code samples Syntology harvested from repositories linked to that row's paper (joined by arXiv id), N executed on a synthesized input and the other U = M−N are unverified (harvested, no recorded run). It counts code from repositories linked to that row's paper, not this result: the row's number was not reproduced and nothing here is a correctness claim. The other cell texts mean no graph line for the row: "linked, not harvested" (the archive links code, Syntology has not harvested it), "no code linked" (no code link in the archive), "not matched" (the row's paper URL matched no paper on this site). 31 rows have a graph line, from 12 distinct papers; 28 rows (10 papers) have at least one sample that ran. Counting each paper once: Syntology ran 116 of 243 samples; 127 unverified. Separately, 90 of those 243 are pointer-only (licence): the site points at that code rather than redistributing it, a licence property recorded for ran and unverified samples alike; each cell's tooltip carries the row's own pointer-only count. Read from the graph 2026-09-24. Per-sample status is on the paper page.

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