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BEGIN:VEVENT
ORGANIZER;CN="Hunter, Tiffany":mailto:huntert1@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=lijuanh1@m
su.edu:mailto:lijuanh1@msu.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Steinberg,
Eric":mailto:steinber@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Juedes, Da
vid":mailto:juedes@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Patterson,
James":mailto:pattersj@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Abukamail,
Nasseef":mailto:abukamai@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Allwine, D
aniel":mailto:allwined@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Bartone, C
hris":mailto:bartone@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Goble, Jam
es":mailto:goble@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Irwin, Den
nis":mailto:irwind@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Jadwisienc
zak, Wojciech":mailto:jadwisie@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Karanth, A
vinash":mailto:karanth@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Kaya, Sava
s":mailto:kaya@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Liu, Chang"
:mailto:liuc@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Mourning,
Chad":mailto:mourning@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Ostermann,
Shawn":mailto:osterman@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Rahman, Fa
iz":mailto:rahmanf@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Schlicher,
Jared":mailto:schliche@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Ugazio, Sa
brina":mailto:ugazio@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Vasiliadis
, Konstantinos":mailto:vassilia@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Welch, Lon
nie":mailto:welch@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Zhu, Jim":m
ailto:zhuj@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Wang, Zhew
ei":mailto:wangz1@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Lindner, P
atricia":mailto:lindnerp@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Ardrey, Gr
egory":mailto:gardrey@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Yadav, Ani
mesh":mailto:yadava@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Plis, Kevi
n":mailto:plis@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Oun, Ahmed"
:mailto:oun@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Mirzanezha
d, Majid":mailto:miirza@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Dolan, Joh
n":mailto:dolan@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Khalili, F
atemeh":mailto:khalili@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=eecs_bscs@
listserv.ohio.edu:mailto:eecs_bscs@listserv.ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=eecs_bsee@
listserv.ohio.edu:mailto:eecs_bsee@listserv.ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=eecs_mscs@
listserv.ohio.edu:mailto:eecs_mscs@listserv.ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=eecs_phd@l
istserv.ohio.edu:mailto:eecs_phd@listserv.ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=eecs_msee@
listserv.ohio.edu:mailto:eecs_msee@listserv.ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Schultz, A
dam":mailto:schultza@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Tirtom, Is
mail":mailto:itirtom@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Fox, Patri
ck":mailto:pfox@ohio.edu
DESCRIPTION;LANGUAGE=en-US:Title: Link Prediction Revisited: From Evaluatio
n Pitfalls to Language Model Synergies\n\nAbstract: Link prediction is a f
undamental task in graph data analysis and plays a crucial role in advanci
ng graph-based applications in real-world machine learning scenarios. Howe
ver\, several challenges hinder progress in this area. Specifically\, 1) e
xisting evaluation frameworks are neither unified nor sufficiently rigorou
s\, leading to inconsistent and often suboptimal results\, and 2) graph no
des are frequently associated with textual attributes that contain rich se
mantic information\, which is increasingly abundant. Language models have
shown remarkable success in processing textual data to capture semantic in
sights. However\, effectively integrating textual information with graph d
ata to enhance real-world applications remains underexplored. In this talk
\, I will present my research on advancing link prediction from two key pe
rspectives: 1) identifying evaluation pitfalls across various graph types
to inspire more advanced methods for link prediction\, and 2) leveraging l
anguage models in synergy with link prediction techniques to improve a ran
ge of real-world applications. Finally\, I will present my vision for the
future\, focusing on the promotion of graph machine learning\, the explain
ability and interpretability of AI\, and interdisciplinary research.\n\nBi
o: Juanhui Li is a final-year Ph.D. candidate in the Department of Comput
er Science and Engineering at Michigan State University. She received her
B.Eng. and M.Eng. degrees in computer science from Sun Yat-sen University
in 2017 and 2020\, respectively. At MSU\, she has been working with Prof.
Jiliang Tang in the area of graph machine learning\, with a particular foc
us on link prediction. She has also contributed to research in recommendat
ion systems and natural language processing tasks\, particularly leveragin
g large language models. Juanhui has authored numerous high-quality public
ations in top AI conferences\, including NeurIPS\, ICLR\, KDD\, ACL\, and
SIGIR. Her contributions extend beyond theoretical research to practical a
dvancements. She is an active open-source contributor\, maintaining severa
l widely-used public repositories on GitHub. She collaborates closely with
industry partners such as SNAP\, IBM\, Amazon\, and The Home Depot. Juanh
ui is also a recipient of the 2024 ICDM Female Student Shortlist Candidate
.\n\n_____________________________________________________________________
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