DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs
30:57
DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs
21 сағат бұрын
AnyGraph: Graph Foundation Model in the Wild
53:09
AnyGraph: Graph Foundation Model in the Wild
14 күн бұрын
Graph Deep Learning for Time Series Forecasting
51:43
Graph Deep Learning for Time Series Forecasting
14 күн бұрын
From Link Prediction to Frecasting: Information Loss in Batch-based Temporal Graph Learning
37:16
From Link Prediction to Frecasting: Information Loss in Batch-based Temporal Graph Learning
14 күн бұрын
On the Generalization Capability of Temporal Graph Learning Algorithms
1:44:32
On the Generalization Capability of Temporal Graph Learning Algorithms
3 ай бұрын
From Higher-Order Graph Structures to Link Prediction and Beyond
59:59
From Higher-Order Graph Structures to Link Prediction and Beyond
4 ай бұрын
Time to Cite: Modeling Citation Networks using the Dynamic Impact Single-Event Embedding Model
29:45
Time to Cite: Modeling Citation Networks using the Dynamic Impact Single-Event Embedding Model
4 ай бұрын
TGLite: A Lightweight Programming Framework for Continuous-Time Temporal Graph Neural Networks
1:01:29
TGLite: A Lightweight Programming Framework for Continuous-Time Temporal Graph Neural Networks
4 ай бұрын
History Repeats Itself: A Baseline for Temporal Knowledge Graph Forecasting
30:37
History Repeats Itself: A Baseline for Temporal Knowledge Graph Forecasting
4 ай бұрын
The Role of Egocentric Perspective in Temporal Networks
39:45
The Role of Egocentric Perspective in Temporal Networks
4 ай бұрын
zrLLM: Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models
44:31
zrLLM: Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models
5 ай бұрын
Continuous-time Graph Representation with Sequential Survival Process
33:56
Continuous-time Graph Representation with Sequential Survival Process
5 ай бұрын
GraphPulse: Topological Representations for Temporal Graph Property Prediction
46:59
GraphPulse: Topological Representations for Temporal Graph Property Prediction
5 ай бұрын
Deep Temporal Graph Clustering
30:42
Deep Temporal Graph Clustering
6 ай бұрын
HGE: Embedding Temporal Knowledge Graphs in a Product Space of Heterogeneous Geometric Subspaces
38:07
HGE: Embedding Temporal Knowledge Graphs in a Product Space of Heterogeneous Geometric Subspaces
6 ай бұрын
Anomaly Detection in Continuous-Time Temporal Provenance Graphs
31:39
Anomaly Detection in Continuous-Time Temporal Provenance Graphs
6 ай бұрын
Dynamic Graph Information Bottleneck
53:59
Dynamic Graph Information Bottleneck
6 ай бұрын
Graph-based Virtual Sensing from Sparse and Partial Multivariate Observation
49:58
Graph-based Virtual Sensing from Sparse and Partial Multivariate Observation
7 ай бұрын
Graph Neural Networks for Temporal Graphs: State of the Art, Open Challenges, and Opportunities
43:46
Graph Neural Networks for Temporal Graphs: State of the Art, Open Challenges, and Opportunities
7 ай бұрын
Temporal Graph Analysis with TGX
40:17
Temporal Graph Analysis with TGX
7 ай бұрын
Taming Local Effects in Graph-based Spatiotemporal Forecasting
38:30
Taming Local Effects in Graph-based Spatiotemporal Forecasting
8 ай бұрын
DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training
54:34
DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training
8 ай бұрын
Intensity Profile Projection
55:14
Intensity Profile Projection
9 ай бұрын
Self-Supervised Dynamic Graph Representation Learning via Temporal Subgraph Contrast
48:56
Self-Supervised Dynamic Graph Representation Learning via Temporal Subgraph Contrast
10 ай бұрын
ULTRA: Foundation Models for Knowledge Graph Reasoning
50:51
ULTRA: Foundation Models for Knowledge Graph Reasoning
11 ай бұрын
Temporal Dynamics-Aware Adversarial Attacks on Discrete-Time Dynamic Graph Models
57:28
Temporal Dynamics-Aware Adversarial Attacks on Discrete-Time Dynamic Graph Models
11 ай бұрын
A Journey in the Land of Temporal Networks and Dynamic Graphs
59:43
A Journey in the Land of Temporal Networks and Dynamic Graphs
11 ай бұрын
Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion
34:16
Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion
11 ай бұрын
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets
43:16
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets
Жыл бұрын
Пікірлер
@ScottzPlaylists
@ScottzPlaylists 5 ай бұрын
Is the code here yet? kzbin.info/www/bejne/Y4OkfJmmntdoh7c
@wdonno
@wdonno 6 ай бұрын
Hi, thank you, this is a very interesting and helpful presentation! Could the author or someone from the group refer us to other material to provide an update on where this work stands now, in context of other work in this domain? Are there other examples where this has been used? It’s a really interesting approach and I am not familiar with this field.
@TGL_RG
@TGL_RG 6 ай бұрын
Happy that you found the content useful! For more talks, please check the other recordings of the channel. For more materials, please check out the TGL website whose link is in the channel bio!
@2255.
@2255. 6 ай бұрын
Hello, would love your inputs on how to quantify the impact of an anomaly in one node on its neighbors given a homogeneous graph and known edges
@quad_vision4393
@quad_vision4393 6 ай бұрын
Great talk! Any papers on applying this to Android OS?
@张悦-z8b
@张悦-z8b 6 ай бұрын
How can I find the corresponding slides?
@TGL_RG
@TGL_RG 6 ай бұрын
If the presenter shares them, they will be available on our webpage. The link to the webpage can be found in the bio.
@mooncop
@mooncop 7 ай бұрын
We need LARGE GRAPH MODELS WE NEED LARGE GEOMETRY MODELS WEN?!
@abhinav9058
@abhinav9058 9 ай бұрын
Crazy work do we also have something with conditional message passing?
@ANJALI20PHD003
@ANJALI20PHD003 9 ай бұрын
I have multivariate time-series data for 56 years which consists of five variables for 28 locations (that I want to consider as the nodes in my forecasting model). I am facing an issue with how to adjust the multiple variables for each node to formulate a graph for my dataset.
@superman39756
@superman39756 9 ай бұрын
Maybe trying a hyper graph approach would work or some inductive graph model like FIGRL, GraphSAGE, or MIDAS-R.
@superman39756
@superman39756 9 ай бұрын
Also you could try sequence graph transform + any other well established forecasting model that works with vectors as inputs.
@auresdz701
@auresdz701 10 ай бұрын
The first question was right to the point, I think there should be some stochasticity or good negative sampling to solve the issue or G = G'
@mooncop
@mooncop 11 ай бұрын
solid saturday start! hello from san francisco
@mooncop
@mooncop Жыл бұрын
I like big graphs and I cannot lie 🐇⏱ ciao ciao
@赖生智-r7e
@赖生智-r7e Жыл бұрын
hi, can I have the slides in this video?😀
@TGL_RG
@TGL_RG Жыл бұрын
You can find the slides for this talk and many more resources on TGL-RG website! The link can be found in "About" section.