Workshop
Temporal Graph Learning Workshop
Reihaneh Rabbany · Jian Tang · Michael Bronstein · Shenyang Huang · Meng Qu · Kellin Pelrine · Jianan Zhao · Farimah Poursafaei · Aarash Feizi
Room 399
Sat 3 Dec, 5:30 a.m. PST
This workshop bridges the conversation among different areas such as temporal knowledge graph learning, graph anomaly detection, and graph representation learning. It aims to share understanding and techniques to facilitate the development of novel temporal graph learning methods. It also brings together researchers from both academia and industry and connects researchers from various fields aiming to span theories, methodologies, and applications.
Chat is not available.
Timezone: America/Los_Angeles
Schedule
Sat 5:30 a.m. - 6:00 a.m.
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Opening Remark
(
Opening Remark
)
>
SlidesLive Video |
Kellin Pelrine 🔗 |
Sat 6:00 a.m. - 6:15 a.m.
|
Spotlight: Time-Evolving Conditional Character-centric Graphs for Movie Understanding
(
Spotlight Talk
)
>
SlidesLive Video |
Long Dang · Thao Le · Vuong Le · Tu Minh Phuong · Truyen Tran 🔗 |
Sat 6:15 a.m. - 6:30 a.m.
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Spotlight: Scalable Spatiotemporal Graph Neural Networks
(
Spotlight Talk
)
>
link
SlidesLive Video |
Andrea Cini · Ivan Marisca · Filippo Maria Bianchi · Cesare Alippi 🔗 |
Sat 6:30 a.m. - 6:45 a.m.
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Spotlight: Imperceptible Adversarial Attacks on Discrete-Time Dynamic Graph Models
(
Spotlight Talk
)
>
link
SlidesLive Video |
Kartik Sharma · Rakshit Trivedi · Rohit Sridhar · Srijan Kumar 🔗 |
Sat 6:45 a.m. - 7:00 a.m.
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Spotlight: Anomaly Detection in Multiplex Dynamic Networks: from Blockchain Security to Brain Disease Prediction
(
Spotlight Talk
)
>
link
SlidesLive Video |
Ali Behrouz · Margo Seltzer 🔗 |
Sat 7:00 a.m. - 7:30 a.m.
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KeyNote 1 by S. Mehran Kazemi : Learning and Reasoning with Temporal Knowledge Graphs
(
KeyNote
)
>
SlidesLive Video |
Seyed Mehran Kazemi 🔗 |
Sat 7:30 a.m. - 8:00 a.m.
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KeyNote 2 by Bryan Hooi : Temporal Graph Learning: Some Challenges and Recent Directions
(
KeyNote
)
>
SlidesLive Video |
Bryan Hooi 🔗 |
Sat 8:00 a.m. - 8:30 a.m.
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Coffee Break
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🔗 |
Sat 8:30 a.m. - 10:00 a.m.
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Poster Session
(
Poster Session
)
>
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🔗 |
Sat 10:00 a.m. - 11:30 a.m.
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Lunch Break
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🔗 |
Sat 11:30 a.m. - 12:00 p.m.
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KeyNote 3 by Vikas Garg: Provably Powerful Temporal Graph Networks
(
KeyNote
)
>
SlidesLive Video |
Vikas Garg 🔗 |
Sat 12:00 p.m. - 12:30 p.m.
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KeyNote 4 by Srijan Kumar: Temporal GNNs for Web Safety and Integrity
(
KeyNote
)
>
SlidesLive Video |
Srijan Kumar 🔗 |
Sat 12:30 p.m. - 1:00 p.m.
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KeyNote 5 by Pan Li: Representation learning for predicting temporal network evolution
(
KeyNote
)
>
SlidesLive Video |
Pan Li 🔗 |
Sat 1:00 p.m. - 1:30 p.m.
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Coffee Break
|
🔗 |
Sat 1:30 p.m. - 2:30 p.m.
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Panel
(
Panel
)
>
SlidesLive Video |
Vikas Garg · Pan Li · Srijan Kumar · Emanuele Rossi · Shenyang Huang 🔗 |
Sat 2:30 p.m. - 3:00 p.m.
|
Closing Remark
(
Closing Remark
)
>
|
Reihaneh Rabbany 🔗 |
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|
Approximate Bayesian Computation for Panel Data with Signature Maximum Mean Discrepancies
(
Poster
)
>
link
SlidesLive Video |
Joel Dyer · John Fitzgerald · Bastian Rieck · Sebastian Schmon 🔗 |
-
|
Anomaly Detection in Multiplex Dynamic Networks: from Blockchain Security to Brain Disease Prediction
(
Poster
)
>
link
SlidesLive Video |
Ali Behrouz · Margo Seltzer 🔗 |
-
|
TTERGM: Social Theory-Driven network simula
(
Poster
)
>
link
SlidesLive Video |
Yifan Huang · Clayton Barham · Eric Page · Pamela K Douglas 🔗 |
-
|
Imperceptible Adversarial Attacks on Discrete-Time Dynamic Graph Models
(
Poster
)
>
link
SlidesLive Video |
Kartik Sharma · Rakshit Trivedi · Rohit Sridhar · Srijan Kumar 🔗 |
-
|
Polarization identification on multiple timescale using representation learning on temporal graphs in Eulerian description
(
Poster
)
>
link
SlidesLive Video |
Victor Chomel · Nathanaël Cuvelle--Magar · Maziyar Panahi · David Chavalarias 🔗 |
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|
Scalable Spatiotemporal Graph Neural Networks
(
Poster
)
>
link
SlidesLive Video |
Andrea Cini · Ivan Marisca · Filippo Maria Bianchi · Cesare Alippi 🔗 |
-
|
On the Evaluation of Methods for Temporal Knowledge Graph Forecasting
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Poster
)
>
link
SlidesLive Video |
Julia Gastinger · Timo Sztyler · Anett Schuelke · Lokesh Sharma 🔗 |
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Learning Dynamic Graph Embeddings Using Random Walk With Temporal Backtracking
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Poster
)
>
link
SlidesLive Video |
Chenghan Huang · Lili Wang · Xinyuan Cao · Weicheng Ma · Soroush Vosoughi 🔗 |
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Influencer Detection with Dynamic Graph Neural Networks
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Poster
)
>
link
SlidesLive Video |
Elena Tiukhova · Emiliano Penaloza · María Óskarsdóttir · Hernan Garcia · Alejandro Bahnsen · Bart Baesens · Monique Snoeck · Cristián Bravo 🔗 |
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|
Time-Evolving Conditional Character-centric Graphs for Movie Understanding
(
Poster
)
>
link
SlidesLive Video |
Long Dang · Thao Le · Vuong Le · Tu Minh Phuong · Truyen Tran 🔗 |
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|
A Simple But Powerful Graph Encoder for Temporal Knowledge Graph Completion
(
Poster
)
>
link
SlidesLive Video |
Zifeng Ding · Yunpu Ma · Bailan He · Zhen Han · Volker Tresp 🔗 |