Channel

Graph Machine Learning

@graphML

On this record: Growth · Engagement · Reactions · Posts · Telegram's recommendations · Cite this entry

6,625subscribers

-16 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID	-1001331701695
Type	Channel
Username	@graphML
Created	24 December 2019 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded	6 August 2026
Last confirmed live	25 August 2026
Measurements held	6
Confirmed unchanged	1 time, most recently 25 August 2026
On Telegram	t.me/graphML

Growth

6 measurements spanning 18 days, net -16. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 6,622–6,646 and does not start at zero.

Measurement log — every subscribers count we have recorded
Measured (UTC)	Subscribers	Change
25 Aug 2026, 07:36	6,625	-5
19 Aug 2026, 01:15	6,630	-6
12 Aug 2026, 15:14	6,636	-7
10 Aug 2026, 01:12	6,643	+2
6 Aug 2026, 22:00	6,641	no change
6 Aug 2026, 20:15	6,641	first reading

Engagement

20 posts held, back to 16 March 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 10 pagesof Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 18 March 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

619 reactions across 20 posts, in 12 distinct kinds. The most used accounts for 40.9% of them.

Every reaction kind recorded on the sample, most used first
Reaction	Count	Share
👍	253	40.9%
❤	198	32.0%
🔥	142	22.9%
👏	6	0.969%
💯	6	0.969%
⚡	4	0.646%
💩	3	0.485%
🙏	3	0.485%
🆒	1	0.162%
💊	1	0.162%
😁	1	0.162%
🤡	1	0.162%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 20 of the 20 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 619reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 16 March 2025 to 18 March 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

18 Mar 2026, 15:19 UTC≈3,390 views7 reactionsread 20 August 2026

🚀 LOGML 2026 — Mentor Applications Open (Deadline extended!) The LOGML (London Geometry and Machine Learning) Summer School is a research-focused program bringing together researchers in graph ML, geometric deep learning, and scientific ML to work on open problems. The mentor application deadline has been extended to March 22 (AoE). They are looking for mentors to lead small, high-energy research groups: 📍 Imperi…

❤7

Signed graphmlbot

28 Feb 2026, 05:49 UTC≈3,770 views12 reactionsread 20 August 2026

PhD Position in Graph Learning at the University of Vienna, Austria A PhD student position is available within the Machine Learning with Graphs group at the Faculty of Computer Science, University of Vienna. We are looking for a highly motivated applicant with a solid background and strong interest in machine learning, graph theory, and their mathematical foundations to join our team. The successful candidate will p…

💯6❤5🔥1

Signed graphmlbot

16 Feb 2026, 14:22 UTC≈5,100 views21 reactionsread 20 August 2026

Uni Leipzig looking for a motivated student for a PhD position in Graph Machine Learning at Leipzig University. We will mostly be working on generating graphs that come with 3D information such as neurons and biological trees. More information and the application form are here: https://uni-leipzig.talentstorm.de/stellenangebote/25463

❤14🔥5💊1🤡1

2 Oct 2025, 04:46 UTC≈6,410 views37 reactionsread 20 August 2026

Tired of evaluating your graph ML models on Cora, CiteSeer, and PubMed? We have a better benchmark for you! (by Oleg Platonov) Paper: link (NeurIPS 2025 D&B track) Datasets: Zenodo and PyG (in PyG, all the necessary feature preprocessing can be done automatically) Code: GitHub Recently, there has been a lot of criticism of existing popular graph ML benchmark datasets concerning such aspects as lacking practical rel…

👍28❤6🔥3

2 Oct 2025, 04:45 UTC≈3,890 views40 reactionsread 20 August 2026

How can we create general-purpose graph foundation models? (by Dmitry Eremeev) For a long time, we believed that general-purpose graph foundation models were impossible to create. Indeed, graphs are used to represent data across many different domains, and thus graph machine learning must handle tasks on extremely diverse datasets, such as social, information, transportation, and co-purchasing networks, or models of…

👍25❤8🔥7

21 Sept 2025, 00:40 UTC≈3,570 views26 reactionsread 20 August 2026

GraphML News (September 2025) - Stanford Graph Learning WS, MoML, RF Diffusion 3 While the community is processing NeurIPS rejects due to “limited physical space” and rushing to the ICLR deadline, it’s about time to plan attending some future events! 🌲 Stanford organizes its annual Graph Learning Workshop on Oct 14th. The main topics are Relational Foundation Models (get ready to hear a lot about it, hehe), Agents …

❤26

30 Aug 2025, 05:45 UTC≈3,950 views34 reactionsread 20 August 2026

GraphML News (Aug 30th) - OpenAI enters bio, AtomWorks, OrbMol, NeurIPS workshops 📈 The church of scale enters comp bio: OpenAI published first results on protein design of Yamanaka factors (linked to cell aging) together with Retro Bio (where sama happens to be one of investors). The backbone is gpt-4b micro initialized from an existing 4o checkpoint and enriched with “tokenized 3D structure data” (remember ESM-3?)…

👍18❤10👏6

9 Aug 2025, 04:41 UTC≈4,080 views35 reactionsread 20 August 2026

GraphML News (Aug 9th) - AITHYRA Call for PhD students, Chai Discovery Round, Graph Learning Meets Theoretical CS While everyone is busy with GPT-5, Opus 4.1, and GPT-OSS, let’s sneak in some graph news! 🎓 A few days ago you could’ve seen an AITHYRA call for postdocs - but fear not if you are still deciding about starting your scientific career, AITHYRA has a call for PhD students too! The plan includes 15-20 fully…

👍18❤11🔥6

3 Aug 2025, 16:33 UTC≈3,950 views27 reactionsread 20 August 2026

Postdoctoral Researcher Position in Geometric Deep Learning & AI for Science at AITHYRA b/w AITHYRA and Technical University of Vienna Michael Bronstein, AITHYRA Scientific Director AI and Honorary Professor of the Technical University of Vienna in collaboration with Ismail Ilkan Ceylan, expert in graph machine learning, invites outstanding candidates to apply for a postdoctoral research position in Geometric Deep …

🔥16❤7🙏3👍1

3 Aug 2025, 03:38 UTC≈4,010 views34 reactionsread 20 August 2026

GraphML News (Aug 3rd) - Graph Foundation Models from Google, PyG ecosystem expanding It’s been a while since the last post, let’s catch up with the news! 🔮 ICML brought a handful of announcements, eg, our team at Google published a blog post on the in-house Graph Foundation Model which particularly excels on relational data and brings nice (3-40x) benefits compared to SOTA tabular models. It’s quite astounding tha…

👍20❤7🔥7

4 Jul 2025, 03:43 UTC≈3,700 views21 reactionsread 20 August 2026

GraphML News (July 4th 🦅) - Chai-2, SAIR dataset, UMA 1.1, Why flow matching generalizes Some quick news before the BBQ time and beating aliens over NYC. 🧬 Chai Discovery announced Chai-2 that excels at antibody design generating novel ones for 50+ protein targets achieving 16% binding rate in wet lab tests (that’s quite a lot). The tech report says the backbone is a modified Chai-1 but probably with lot more new …

🔥12❤9

21 Jun 2025, 17:14 UTC≈3,470 views33 reactionsread 20 August 2026

GraphML News (June 21st) - Skala, Temporal RDL, Future of Graph Learning, Erwin ⚛️ MSR AI 4 Science announced Skala - an exchange-correlation (XC) ML potential to estimate chemical properties of molecules (energy and force fields). Skala represents molecules via density features obtained from meta-generalized-gradient approximation (meta-GGA) and is practically an irregular integration grid. The main model employs r…

🔥15❤8👍6💩3🆒1

Showing the 12 most recent of 20 posts we hold for @graphML. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Artificial Intelligence && Deep Learning
@DeepLearning_ai · 57,596
Telegram ranks this channel #45 of 87 here — alongside 86 others — read 23 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 25 August 2026 — this entry's latest reading, not the date you are reading this.

“Graph Machine Learning” (@graphML), 6,625 subscribers as measured 25 August 2026. Telegram Register, tgregister.com/channel/graphML.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.