Temporal Graph Learning Reading Group Add us as a preferred source on Google
🔄 Data last refreshed 2 months ago
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Make a deal with Temporal Graph Learning Reading Group
🔒 Paid proposals held safely in escrow — released only when the work's approved.
Followers
394
Account age
1 yrs
💰 Suggested sponsorship rate
$40 – $65 / sponsored post
Estimated from audience size & typical reach — every deal is negotiable and held in SocialDB escrow.
🎁 Free analysisfor Temporal Graph Learning Reading Group
📊 Post engagement
Recent posts · likes + reposts
Oct 29latest
2
Avg engagement / post
1–2
Typical post (engagement)
0.5%
Engagement vs followers
64/100
Consistent reach
Nov 2024
On Bluesky since
Half of recent posts land between 1 and 2 likes + reposts (median 1) — a dependable floor a sponsored post can count on.
🔥 Top post: The Temporal Graph Learning Reading Group is back from Winter Br · 5 likes + reposts
📊 Activity & format
Posting cadence
0.46 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly text
Recent: 12 text · 0 image · 0 video.
Follower / following
0.9×
Follows 444 back. A more reciprocal / networked account.
Recent posts
View on Bluesky ↗
This week at the reading group, April 30th, 11am EDT/ 5pm CEST, we are happy to have Weilin Xin and Chenyu Huang, who will present UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs for Urban Microclimate Prediction …
This week at the reading group, April 16th, 11am EDT/ 5pm CEST, we are happy to welcome Vinay Sharma (EPFL), who will present A physics-informed graph neural network conserving linear and angular momentum for dynamical systems (Nature Comm…
This week at the reading group, thursday, April 2nd, 11am EDT/ 5pm CEST, we are happy to welcome Vahid Jalili, who will present The Temporal Graph of Bitcoin Transactions (NeurIPS 2025)
zoom link on our website
🐰
Hello, we have no reading group this week. We will be back with The Temporal Graph of Bitcoin Transactions (NeurIPS 2025), next week, april 2nd. 🌞
This week at the reading group, March 19th 11am EDT (4pm EDT!), we are happy to welcome Abigail J. Hayes and Tobias Schumacher (University of Mannheim), who will present:
What Do Temporal Graph Learning Models Learn?
See you on zoom (link…
⏰Time-zone info: Canada already switched to EDT, Europe is still on winter time. See you Thu, Mar 12th, 11amEDT/4pmCET.
We’re happy to welcome Veronica Lachi with “Bridging Theory and Practice in Link Representation with Graph Neural Netw…
📚 Today at the Reading Group, Thu, Feb 26, 11am EST, we’re excited to host Vignesh Kothapalli (Stanford University) presenting:
PLUREL: Synthetic Data Unlocks Scaling Laws for Relational Foundation Models
zoom link on our website
See you…
This week at the reading group, thursday feb 12th, 11am EST, we are happy to welcome Sofiane Ennadir, who will present: Virtual Nodes Go Temporal (LOG 2025).
zoom link on website!
🥳
📢 This week at the Reading Group (Nov 13, 11am EST / 5pm CET), Jacob Chmura & @shenyanghuangtg.bsky.social
present TGM: a Modular and Efficient Library for Machine Learning on Temporal Graph ⏰
zoom link on website!
🪩This week at the reading group, thursday, november 6th, 11am EST (5pm CET), Emma Ceccherini (University of Bristol) will present: Unsupervised Attributed Dynamic Network Embedding with Stability Guarantees 🪩
Looking forward to seeing you…
🗓️ Reading Group: Thu, Oct 30 @ 11:00 AM EDT (note: 4:00 PM CET this week due to DST shift!)
👩🔬 Speaker: Edwige Cyffers (ISTA, Austria)
📄 Fedivertex: a Graph Dataset based on Decentralized Social Networks for Trustworthy ML
🔗 arxiv.org/ab…
🦋 Handle & authenticity
Bluesky handle
@tempgraphrg.bsky.social
A default .bsky.social handle — genuine, but not domain-verified. Confirm identity before a high-value deal.
On Bluesky since
Nov 2024
Joined after Bluesky opened to the public — a settled account with a real history.
💡 Facts
🗓️Joined Bluesky in 2024 — 1 year ago.
👁️Averages 2 views per post.
📤Posts about 0.5× per week.
🕵️ Fake follower check
Estimated75/100
Good
Credibility score
92%
Real
Real audience
Low
Fake-follower risk
High
Data confidence
- Est. 92% real, active audience · Low fake-follower risk.
- Strong engagement (~0.5% of followers engage each post) — an active, real audience.
Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.
About
Research on Temporal Graph Learning 🔸Thursdays 11am-12pm EST🔸 zoom 🔸
Organizers: @shenyanghuangtg.bsky.social;
FarimahPoursafaei; @juliagasti.bsky.social; @vstenby.bsky.social; Emma Kondrup; Sebastian Sabry
website: shenyanghuang.github.io/rg.html
🔀 Audience overlap
EstimatedEstimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.
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Frequently asked questions
How much does Temporal Graph Learning Reading Group charge for a sponsorship?
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How many followers does Temporal Graph Learning Reading Group have?
Temporal Graph Learning Reading Group has 394 followers on Bluesky.
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